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 231–240 of 2042 papers

Title	Date	Tasks	Status
Amodal Completion and Size Constancy in Natural Scenes	Sep 27, 2015	Objectobject-detection	—Unverified
A Benchmark Grocery Dataset of Realworld Point Clouds From Single View	Feb 12, 2024	3D Point Cloud ClassificationContinual Learning	—Unverified
A Light and Smart Wearable Platform with Multimodal Foundation Model for Enhanced Spatial Reasoning in People with Blindness and Low Vision	May 16, 2025	Large Language ModelNavigate	—Unverified
BIM Hyperreality: Data Synthesis Using BIM and Hyperrealistic Rendering for Deep Learning	May 10, 2021	Generative Adversarial NetworkObject Recognition	—Unverified
Auditing ImageNet: Towards a Model-driven Framework for Annotating Demographic Attributes of Large-Scale Image Datasets	May 3, 2019	Object Recognition	—Unverified
Audiovisual Highlight Detection in Videos	Feb 11, 2021	Highlight DetectionObject Recognition	—Unverified
Adaptive Object Detection with Dual Multi-Label Prediction	Mar 29, 2020	Domain AdaptationImage-to-Image Translation	—Unverified
AU Dataset for Visuo-Haptic Object Recognition for Robots	Dec 27, 2021	ObjectObject Recognition	—Unverified
Augmenting Image Annotation: A Human-LMM Collaborative Framework for Efficient Object Selection and Label Generation	Mar 14, 2025	Object Recognition	—Unverified
ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries	Oct 24, 2019	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