365 Days Computer Vision Learning LinkedIn Post

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Days	Topic	Post Link
1	EfficientDet	https://bit.ly/362NWHa
2	Yolact++	https://bit.ly/3o5OaU3
3	YOLO Series	https://bit.ly/3650LAJ
4	Detr	https://bit.ly/39S5F57
5	Vision Transformer	https://bit.ly/39UMHLd
6	Dynamic RCNN	https://bit.ly/3939gy5
7	DeiT: (Data-efficient image Transformer)	https://bit.ly/363ZABt
8	Yolov5	https://bit.ly/39QHTXq
9	DropBlock	https://bit.ly/3sM4TiG
10	FCN	https://bit.ly/3iE9U8C
11	Unet	https://bit.ly/3izdbG2
12	RetinaNet	https://bit.ly/3o5NrlN
13	SegNet	https://bit.ly/3qIauVz
14	CAM	https://bit.ly/2Y2I8ZR
15	R-FCN	https://bit.ly/3iCKsQL
16	RepVGG	https://bit.ly/2Y2pGjV
17	Graph Convolution Network	https://bit.ly/2LS9RK8
18	DeconvNet	https://bit.ly/2Mhwzes
19	ENet	https://bit.ly/2Y2HgEz
20	Deeplabv1	https://bit.ly/3o7Utqn
21	CRF-RNN	https://bit.ly/2Y5nsR4
22	Deeplabv2	https://bit.ly/2Y9DgSx
23	DPN	https://bit.ly/363Cye2
24	Grad-CAM	https://bit.ly/3iF006q
25	ParseNet	https://bit.ly/3oesFk5
26	ResNeXt	https://bit.ly/2M2sXxe
27	AmoebaNet	https://bit.ly/2YgRIbN
28	DilatedNet	https://bit.ly/2M9fuDS
29	DRN	https://bit.ly/2KXVmUH
30	RefineNet	https://bit.ly/3cpCBVq
31	Preactivation-Resnet	https://bit.ly/2MJtgwQ
32	SqueezeNet	https://bit.ly/3cv3Ca0
33	FractalNet	https://bit.ly/3pSv712
34	PolyNet	https://bit.ly/3atCQfJ
35	DeepSim(Image Quality Assessment)	https://bit.ly/3oKJGTi
36	Residual Attention Network	https://bit.ly/3cIjupL
37	IGCNet / IGCV	https://bit.ly/36LRfTo
38	Resnet38	https://bit.ly/2N7tpKL
39	SqueezeNext	https://bit.ly/3cSev5W
40	Group Normalization	https://bit.ly/3ryNxEI
41	ENAS	https://bit.ly/2LB6pDC
42	PNASNet	https://bit.ly/3tIX6mx
43	ShuffleNetV2	https://bit.ly/2Zb3xAM
44	BAM	https://bit.ly/3b67xb2
45	CBAM	https://bit.ly/3plxHvJ
46	MorphNet	https://bit.ly/3rWzcSM
47	NetAdapt	https://bit.ly/2NtlFmE
48	ESPNetv2	https://bit.ly/3jWVoJv
49	FBNet	https://bit.ly/3k1PXZL
50	HideandSeek	https://bit.ly/3qELCP0
51	MR-CNN & S-CNN	https://bit.ly/2Zw6QTf
52	ACoL: Adversarial Complementary Learning	https://bit.ly/3qKFNiU
53	CutMix	https://bit.ly/2Nt5shI
54	ADL	https://bit.ly/3qNeFQm
55	SAOL	https://bit.ly/2NVuBBs
56	SSD	https://bit.ly/37PWpyo
57	NOC	https://bit.ly/3uBrZJJ
58	G-RMI	https://bit.ly/3kJDlap
59	TDM	https://bit.ly/3dV5zgN
60	DSSD	https://bit.ly/3q6EHg8
61	FPN	https://bit.ly/2OewZn0
62	DCN	https://bit.ly/3e3G4Kg
63	Light-Head-RCNN	https://bit.ly/388rtcT
64	Cascade RCNN	https://bit.ly/3uUDlZz
65	MegNet	https://bit.ly/3bkNvuM
66	StairNet	https://bit.ly/3bluE2P
67	ImageNet Rethinking	https://bit.ly/3bqBfZZ
68	ERFNet	https://bit.ly/2OxgC5c
69	LayerCascade	https://bit.ly/3qzWdd8
70	IDW-CNN	https://bit.ly/3letEAY
71	DIS	https://bit.ly/3vi3xh3
72	SDN	https://bit.ly/3lftn0k
73	ResNet-DUC-HDC	https://bit.ly/3lmdhlN
74	Deeplabv3+	https://bit.ly/3lfSRuR
75	AutoDeeplab	https://bit.ly/2P14kSF
76	c3	https://bit.ly/3qX0yqK
77	DRRN	https://bit.ly/3ltkWP9
78	BR²Net	https://bit.ly/3f0jGlI
79	SDS	https://bit.ly/3f0CZLw
80	AdderNet	https://bit.ly/3sfMdYa
81	HyperColumn	https://bit.ly/3vV7Jn5
82	DeepMask	https://bit.ly/3cY2RVR
83	SharpMask	https://bit.ly/3rg0h2r
84	MultipathNet	https://bit.ly/31fcTMR
85	MNC	https://bit.ly/39rRXqj
86	InstanceFCN	https://bit.ly/3wbQuy8
87	FCIS	https://bit.ly/3dhPz6B
88	MaskLab	https://bit.ly/3wb3Vya
89	PANet	https://bit.ly/2PmQTNs
90	CUDMedVision1	https://bit.ly/3rETZd1
91	CUDMedVision2	https://bit.ly/3mago0q
92	CFS-FCN	https://bit.ly/3cXP0zX
93	U-net+Res-net	https://bit.ly/3mpKD3P
94	Multi-Channel	https://bit.ly/2Q1WCbN
95	V-Net	https://bit.ly/3sYxGAt
96	3D-Unet	https://bit.ly/3uvNOcS
97	M²FCN	https://bit.ly/3cXSlPG
98	Suggestive Annotation	https://bit.ly/3t1UbV8
99	3D Unet + Resnet	https://bit.ly/3wRu3i9
100	Cascade 3D-Unet	https://bit.ly/3siNsEX
101	DenseVoxNet	https://bit.ly/2RGliYd
102	QSA + QNT	https://bit.ly/3wWtyDf
103	Attention-Unet	https://bit.ly/3eaMNAK
104	RUNet + R2Unet	https://bit.ly/2Q4bIxG
105	VoxResNet	https://bit.ly/32gLBWN
106	Unet++	https://bit.ly/3esShGV
107	H-DenseUnet	https://bit.ly/3dN53kn
108	DUnet	https://bit.ly/3sPYrWS
109	MultiResUnet	https://bit.ly/32J7Epr
110	Unet3+	https://bit.ly/3vj4lRX
111	VGGNet For Covid19	https://bit.ly/3ewquW6
112	𝗗𝗲𝗻𝘀𝗲-𝗚𝗮𝘁𝗲𝗱 𝗨-𝗡𝗲𝘁 (𝗗𝗚𝗡𝗲𝘁)	https://bit.ly/3tR67cM
113	Ki-Unet	https://bit.ly/3gD4wDK
114	Medical Transformer	https://bit.ly/3dLw9Zf
115	Deep Snake- Instance Segmentation	https://bit.ly/3dQmdhm
116	BlendMask	https://bit.ly/32LVXyf
117	CenterNet	https://bit.ly/3aJrJQD
118	SRCNN	https://bit.ly/3t82eie
119	Swin Transformer	https://bit.ly/2QMWxct
120	Polygon-RNN	https://bit.ly/3ujEJ7D
121	PolyTransform	https://bit.ly/3gT11ZZ
122	D2Det	https://bit.ly/3b2EDJL
123	PolarMask	https://bit.ly/3uklSsO
124	FGN	https://bit.ly/3uiyyAl
125	Meta-SR	https://bit.ly/3ekFyr9
126	Iterative Kernel Correlation	https://bit.ly/3xPGZp6
127	SRFBN	https://bit.ly/2Qc1c7z
128	ODE	https://bit.ly/3w1K8k4
129	SRNTT	https://bit.ly/2RNT9hS
130	Parallax Attention	https://bit.ly/3tIr74x
131	3D Super Resolution	https://bit.ly/3bliXJa
132	FSTRN	https://bit.ly/3uWJ8h7
133	PointGroup	https://bit.ly/2QfeKPP
134	3D-MPA	https://bit.ly/3bqz9J6
135	Saliency Propagation	https://bit.ly/3tXTvj4
136	Libra R-CNN	https://bit.ly/3hDytnt
137	SiamRPN++	https://bit.ly/33TNjyi
138	LoFTR	https://bit.ly/3eUtlJS
139	MZSR	https://bit.ly/3ul5gAs
140	UCTGAN	https://bit.ly/3fQg9ox
141	OccuSeg	https://bit.ly/3bUJtta
142	LAPGAN	https://bit.ly/3unOjW1
143	TPN	https://bit.ly/3vvyIoW
144	GTAD	https://bit.ly/3c09yqK
145	SlowFast	https://bit.ly/3fMrI0d
146	IDU	https://bit.ly/2ROcIa5
147	ATSS	https://bit.ly/3hTIflC
148	Attention-RPN	https://bit.ly/3oYescY
149	Aug-FPN	https://bit.ly/3fUbdzi
150	Hit-Detector	https://bit.ly/3uGCLgB
151	MCN	https://bit.ly/3ySpjtq
152	CentripetalNet	https://bit.ly/2S1WNVB
153	ROAM	https://bit.ly/34Ft8Ex
154	PF-NET(3D)	https://bit.ly/2TzQiK9
155	PointAugment	https://bit.ly/3uMc8Hr
156	C-Flow	https://bit.ly/3xgDlUn
157	RandLA-Net	https://bit.ly/3fYajD9
158	Total3DUnderStanding	https://bit.ly/3v3jy9c
159	IF-Nets	https://bit.ly/3v7XjPj
160	PerfectShape	https://bit.ly/3za20vk
161	ACNe	https://bit.ly/3gaJQSN
162	PQ-Net	https://bit.ly/35dVPsm
163	SG-NN	https://bit.ly/3iQ4yca
164	Cascade Cost Volume	https://bit.ly/3gyZHtt
165	SketchGCN	https://bit.ly/3pVoxI8
166	Spektral (Graph Neural Network)	https://bit.ly/3q2T079
167	Graph Convolution Neural Network	https://bit.ly/3gAkiNX
168	Fast Localized Spectral Filtering(Graph Kernel)	https://bit.ly/3iRUEa0
169	GraphSAGE	https://bit.ly/3gCj9Xx
170	ARMA Convolution	https://bit.ly/3qcubpC
171	Graph Attention Networks	https://bit.ly/3h1gfKy
172	Axial-Deeplab	https://bit.ly/3qiIF7l
173	Tide	https://bit.ly/3j5evmh
174	SipMask	https://bit.ly/3gMBoJE
175	UFO²	https://bit.ly/2SVS2xA
176	SCAN	https://bit.ly/2ThBv70
177	AABO : Adaptive Anchor Box Optimization	https://bit.ly/3qCSRaP
178	SimAug	https://bit.ly/3dlV6tK
179	Instant-teaching	https://bit.ly/3h0E2LU
180	Refinement Network for RGB-D	https://bit.ly/3dtRh5O
181	Polka Lines	https://bit.ly/3hlNbhd
182	HOTR	https://bit.ly/3hsV44i
183	Soft-IntroVAE	https://bit.ly/3jFozTk
184	ReXNet	https://bit.ly/3r42WO9
185	DiNTS	https://bit.ly/3AQibii
186	Pose2Mesh	https://bit.ly/3wFTORi
187	Keep Eyes on the Lane	https://bit.ly/3wxs4hl
188	AssembleNet++	https://bit.ly/3xAHhjf
189	SNE-RoadSeg	https://bit.ly/3hyCEAL
190	AdvPC	https://bit.ly/3i3dGrV
191	Eagle eye	https://bit.ly/3e5Iqaz
192	Deep Hough Transform	https://bit.ly/2UEFbAm
193	WeightNet	https://bit.ly/3rfDSUL
194	StyleMAPGAN	https://bit.ly/2URgPTO
195	PD-GAN	https://bit.ly/3xQMCmM
196	Non-Local Sparse Attention	https://bit.ly/3xJZbAd
197	TediGAN	https://bit.ly/3wH67MZ
198	FedDG	https://bit.ly/3zfKiGe
199	Auto-Exposure Fusion	https://bit.ly/3y3F2W1
200	Involution	https://bit.ly/36Ksiaz
201	MutualNet	https://bit.ly/3zhfd4N
202	Teachers do more than teach - Image to Image translation	https://bit.ly/36RP28K
203	VideoMoCo	https://bit.ly/3f6Pq7Z
204	ArtGAN	https://bit.ly/3rvDCB9
205	Vip-DeepLab	https://bit.ly/3xmzmVX
206	PSConvolution	https://bit.ly/3rEIgMY
207	Deep learning technique on Semantic Segmentation	https://bit.ly/375hrID
208	Synthetic to Real	https://bit.ly/3yfZSRO
209	Panoptic Segmentation	https://bit.ly/376tbdA
210	HistoGAN	https://bit.ly/3zSYyVD
211	Semantic Image Matting	https://bit.ly/3s5ZD9F
212	Anchor-Free Person Search	https://bit.ly/2VI0KAD
213	Spatial-Phase-Shallow-Learning	https://bit.ly/3CDAl82
214	LiteFlowNet3	https://bit.ly/3yDILcO
215	EfficientNetv2	https://bit.ly/3xAQsiE
216	CBNETv2	https://bit.ly/3s3ptvb
217	PerPixel Classification	https://bit.ly/3lOomyg
218	Kaleido-BERT	https://bit.ly/3ywh2Lf
219	DARKGAN	https://bit.ly/3lTW05J
220	PPDM	https://bit.ly/3lPgjBt
221	SEAN	https://bit.ly/3yOUJ3L
222	Closed-Loop Matters	https://bit.ly/3CzBnlq
223	Elastic Graph Neural Network	https://bit.ly/3jket9S
224	Deep Imbalance Regression	https://bit.ly/3yn0Ue3
225	PIPAL - Image Quality Assessment	https://bit.ly/3gCliSx
226	Mobile-Former	https://bit.ly/3kxCSbm
227	Rank and Sort Loss	https://bit.ly/3sPQt1s
228	Room Classification using Graph Neural Network	https://bit.ly/3gD8Odv
229	Pyramid Vision Transformer	https://bit.ly/3zmod9h
230	EigenGAN	https://bit.ly/3BfdIVO
231	GNeRF	https://bit.ly/3mD3kTR
232	DetCo	https://bit.ly/3sQiRk9
233	DERT with Special Modulated Co-Attention	https://bit.ly/3sPQ5jw
	Residual Attention	https://bit.ly/3yni4bJ
235	MG-GAN	https://bit.ly/3mD30o7
236	Adaptable GAN Encoders	https://bit.ly/3yh4XJ3
237	AdaAttN	https://bit.ly/3BepKPa
238	Conformer	https://bit.ly/3gCkj4N
239	YOLOP	https://bit.ly/3BicysB
240	VMNet	https://bit.ly/3k73jFZ
241	Airbert	https://bit.ly/3nvcrGs
242	𝗢𝗿𝗶𝗲𝗻𝘁𝗲𝗱 𝗥-𝗖𝗡𝗡	https://bit.ly/397Zius
243	Battle of Network Structure	https://bit.ly/2XcHbB0
244	InSeGAN	https://bit.ly/3z9wyMF
245	Efficient Person Search	https://bit.ly/3CpbZOr
246	DeepGCNs	https://bit.ly/3AevSHg
247	GroupFormer	https://bit.ly/3lqzm2Y
248	SLIDE	https://bit.ly/3hwpiEp
249	Super Neuron	https://bit.ly/3zkXE3D
250	SOTR	https://bit.ly/3hvqCYl
251	Survey : Instance Segmentation	https://bit.ly/3k90xQB
252	SO-Pose	https://bit.ly/3C56KD8
253	CANet	https://bit.ly/2XlDKZ2
254	XVFI	https://bit.ly/3lrOpcZ
255	TxT	https://bit.ly/3tGFlEH
256	ConvMLP	https://bit.ly/2XlE8Xu
257	Cross Domain Contrastive Learning	https://bit.ly/3tDb2id
258	OS2D: One Stage Object Detection	https://bit.ly/3ufnEMD
259	PointManifoldCut	https://bit.ly/3CKvAIL
260	Large Scale Facial Expression Dataset	https://bit.ly/2ZqtT4V
261	Graph-FPN	https://bit.ly/2XH8T9f
262	3D Shape Reconstruction	https://bit.ly/2XTe9aq
263	Open Graph Benchmark Dataset	https://bit.ly/3ET2Lfl
264	ShiftAddNet	https://bit.ly/3i6eb5C
265	WatchOut! Motion Blurring the vision of your DNN	https://bit.ly/3CKTzrw
266	Rethinking Learnable Tree Filter	https://bit.ly/3zHfPAC
267	Neuron Merging	https://bit.ly/39DwLNS
268	Distance IOU Loss	https://bit.ly/3i7Zj6z
269	Deep Imitation learning	https://bit.ly/3AzGVd6
270	Pixel Level Cycle Association	https://bit.ly/3iTZMK6
271	Deep Model Fusion	https://bit.ly/2YK45kl
272	Object Representation Network	https://bit.ly/3BA0mnE
273	HOI Analysis	https://bit.ly/3FH2Key
274	Deep Equilibrium Models	https://bit.ly/3FDH2IB
275	Sampling from k-DPP	https://bit.ly/3BAyRuc
276	Rotated Binary Neural Network	https://bit.ly/3mIuYx3
277	PP-LCNet - LightCNN	https://bit.ly/3v1Zh5H
278	MC-Net+	https://bit.ly/3v5tYqk
279	Fake it till you make it	https://bit.ly/3AyGTSQ
280	Enformer	https://bit.ly/3AAdCr9
281	VideoClip	https://bit.ly/3mOueGu
282	Moving Fashion	https://bit.ly/3jdvAtN
283	Convolution to Transformer	https://bit.ly/3v5yy8f
284	HeadGAN	https://bit.ly/3BLzRvm
285	Focal Transformer	https://bit.ly/3lvCYSI
286
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Thanks for Reading🎉🎉🎉🎉

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