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 261–270 of 2042 papers

Title	Date	Tasks	Status
Attention Mechanisms for Object Recognition with Event-Based Cameras	Jul 25, 2018	Event-based visionObject Recognition	—Unverified
All-Weather Object Recognition Using Radar and Infrared Sensing	Oct 30, 2020	AllData Augmentation	—Unverified
Adaptive Hierarchical Decomposition of Large Deep Networks	Jul 17, 2020	Deep LearningObject Recognition	—Unverified
Building Machines That Learn and Think Like People	Apr 1, 2016	Board GamesObject Recognition	—Unverified
Fractional order graph neural network	Jan 5, 2020	global-optimizationGraph Neural Network	—Unverified
All About Knowledge Graphs for Actions	Aug 28, 2020	Action RecognitionAll	—Unverified
MIRAGE: A Multi-modal Benchmark for Spatial Perception, Reasoning, and Intelligence	May 15, 2025	AttributeObject	—Unverified
A Transfer Learning Approach to Cross-Modal Object Recognition: From Visual Observation to Robotic Haptic Exploration	Jan 18, 2020	ObjectObject Recognition	—Unverified
A Too-Good-to-be-True Prior to Reduce Shortcut Reliance	Feb 12, 2021	Object Recognitionvalid	—Unverified
Aligning Text, Images, and 3D Structure Token-by-Token	Jun 9, 2025	3D Object RecognitionInstruction Following	—Unverified

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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