Object Recognition

Object recognition is a computer vision technique for detecting + classifying objects in images or videos. Since this is a combined task of object detection plus image classification, the state-of-the-art tables are recorded for each component task here and here.

( Image credit: Tensorflow Object Detection API )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 901–910 of 2042 papers

Title	Date	Tasks	Status	Hype
Privacy Leakage of SIFT Features via Deep Generative Model based Image Reconstruction	Sep 2, 2020	Content-Based Image RetrievalImage Reconstruction	CodeCode Available	0
Deep Learning Techniques for Geospatial Data Analysis	Aug 30, 2020	Deep Learningimage-classification	—Unverified	0
Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature	Aug 29, 2020	feature selectionObject Recognition	—Unverified	0
All About Knowledge Graphs for Actions	Aug 28, 2020	Action RecognitionAll	—Unverified	0
Minimal Adversarial Examples for Deep Learning on 3D Point Clouds	Aug 27, 2020	3D Object RecognitionDeep Learning	—Unverified	0
Multi-Label Sentiment Analysis on 100 Languages with Dynamic Weighting for Label Imbalance	Aug 26, 2020	Object RecognitionSentiment Analysis	CodeCode Available	0
Vision at A Glance: Interplay between Fine and Coarse Information Processing Pathways	Aug 23, 2020	Object Recognition	—Unverified	0
Line-Circle-Square (LCS): A Multilayered Geometric Filter for Edge-Based Detection	Aug 21, 2020	Edge Detectionobject-detection	CodeCode Available	0
A Self-supervised GAN for Unsupervised Few-shot Object Recognition	Aug 16, 2020	ObjectObject Recognition	—Unverified	0
Offline Meta-Reinforcement Learning with Advantage Weighting	Aug 13, 2020	Machine TranslationMeta-Learning	CodeCode Available	1

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All datasets shape bias CIFAR10-DVS N-Caltech 101 ObjectNet (All classes)ObjectNet (ImageNet classes)ObjectNet (ImageNet classes, trained on ImageNet)DVS128 Gesture MECCANO N-CARS

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Imagen	shape bias	98.7	—	Unverified
2	Stable Diffusion	shape bias	92.7	—	Unverified
3	Parti	shape bias	91.7	—	Unverified
4	ViT-22B-384	shape bias	86.4	—	Unverified
5	ViT-22B-560	shape bias	83.8	—	Unverified
6	CLIP (ViT-B)	shape bias	79.9	—	Unverified
7	ViT-22B-224	shape bias	78	—	Unverified
8	ResNet-50 (L2 eps 5.0 adv trained)	shape bias	69.5	—	Unverified
9	ResNet-50 (with strong augmentations)	shape bias	62.2	—	Unverified
10	SWSL (ResNeXt-101)	shape bias	49.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	85.55	—	Unverified
2	SSNN	Accuracy (% )	78.57	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	85.62	—	Unverified
2	SSNN	Accuracy (% )	79.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	18.75	—	Unverified
2	yun	Top 5 Accuracy	14.75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	52.24	—	Unverified
2	DY	Top 5 Accuracy	0.08	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	52.24	—	Unverified
2	AJ2021	Top 5 Accuracy	27.68	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SSNN	Accuracy (% )	94.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Faster-RCNN	mAP	30.39	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	96	—	Unverified