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 921–930 of 2042 papers

Title	Date	Tasks	Status
Image Optimization and Prediction	May 10, 2013	Object RecognitionPrediction	—Unverified
HR-RCNN: Hierarchical Relational Reasoning for Object Detection	Oct 26, 2021	Graph AttentionInstance Segmentation	—Unverified
Improved Few-Shot Visual Classification	Dec 7, 2019	ClassificationFew-Shot Image Classification	—Unverified
Fractional order graph neural network	Jan 5, 2020	global-optimizationGraph Neural Network	—Unverified
Human-Inspired Topological Representations for Visual Object Recognition in Unseen Environments	Sep 15, 2023	ClusteringObject	—Unverified
MIRAGE: A Multi-modal Benchmark for Spatial Perception, Reasoning, and Intelligence	May 15, 2025	AttributeObject	—Unverified
Improving Robustness of Feature Representations to Image Deformations using Powered Convolution in CNNs	Jul 25, 2017	object-detectionObject Detection	—Unverified
Discovering Novel Actions from Open World Egocentric Videos with Object-Grounded Visual Commonsense Reasoning	May 26, 2023	Object RecognitionVisual Commonsense Reasoning	—Unverified
Deep Active Object Recognition by Joint Label and Action Prediction	Dec 17, 2015	ObjectObject Recognition	—Unverified
BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning	Nov 19, 2017	Object Recognition	—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