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 1631–1640 of 2042 papers

Title	Date	Tasks	Status
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception?	May 26, 2023	ObjectObject Recognition	—Unverified
Are Face and Object Recognition Independent? A Neurocomputational Modeling Exploration	Apr 26, 2016	Object Recognition	—Unverified
Are Labels Always Necessary for Classifier Accuracy Evaluation?	Jul 6, 2020	Object Recognitionregression	—Unverified
A Resilient Image Matching Method with an Affine Invariant Feature Detector and Descriptor	Dec 29, 2017	3D Object ReconstructionObject Recognition	—Unverified
A Review of methods for Textureless Object Recognition	Oct 31, 2019	Edge DetectionObject	—Unverified
A Review of Pulse-Coupled Neural Network Applications in Computer Vision and Image Processing	Jun 1, 2024	Edge DetectionImage Compression	—Unverified
A Review on Near Duplicate Detection of Images using Computer Vision Techniques	Sep 7, 2020	object-detectionObject Detection	—Unverified
Artificial and beneficial -- Exploiting artificial images for aerial vehicle detection	Apr 7, 2021	Objectobject-detection	—Unverified
Artistic Object Recognition by Unsupervised Style Adaptation	Dec 28, 2018	Domain AdaptationObject	—Unverified
ArtRAG: Retrieval-Augmented Generation with Structured Context for Visual Art Understanding	May 9, 2025	Image CaptioningObject 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