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 801–810 of 2042 papers

Title	Date	Tasks	Status
Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition	Oct 8, 2021	Emotion RecognitionObject	—Unverified
Flexible deep transfer learning by separate feature embeddings and manifold alignment	Dec 22, 2020	Domain AdaptationObject Recognition	—Unverified
Flexible ViG: Learning the Self-Saliency for Flexible Object Recognition	Jun 6, 2024	Graph Neural NetworkObject Recognition	—Unverified
AI-based Density Recognition	Jul 24, 2024	ObjectObject Recognition	—Unverified
Active Perception using Light Curtains for Autonomous Driving	Aug 5, 2020	3D Object RecognitionAutonomous Driving	—Unverified
ForcePose: A Deep Learning Approach for Force Calculation Based on Action Recognition Using MediaPipe Pose Estimation Combined with Object Detection	Mar 28, 2025	Action RecognitionHuman-Object Interaction Detection	—Unverified
Forecasting Hands and Objects in Future Frames	May 20, 2017	Objectobject-detection	—Unverified
Generalized K-fan Multimodal Deep Model with Shared Representations	Mar 26, 2015	Information RetrievalObject Recognition	—Unverified
Formula-Supervised Visual-Geometric Pre-training	Sep 20, 2024	3D Object Classification3D Object Recognition	—Unverified
Generalized Multi-view Embedding for Visual Recognition and Cross-modal Retrieval	May 31, 2016	Cross-Modal RetrievalImage Retrieval	—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