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 411–420 of 2042 papers

Title	Date	Tasks	Status
Open-Set 3D Semantic Instance Maps for Vision Language Navigation -- O3D-SIM	Apr 27, 2024	Image SegmentationNavigate	CodeCode Available
Deep Models for Multi-View 3D Object Recognition: A Review	Apr 23, 2024	3D Classification3D Object Recognition	—Unverified
CloudFort: Enhancing Robustness of 3D Point Cloud Classification Against Backdoor Attacks via Spatial Partitioning and Ensemble Prediction	Apr 22, 2024	3D Point Cloud ClassificationAutonomous Vehicles	—Unverified
ECOR: Explainable CLIP for Object Recognition	Apr 19, 2024	Objectobject-detection	—Unverified
On-board classification of underwater images using hybrid classical-quantum CNN based method	Apr 19, 2024	Autonomous VehiclesGPU	—Unverified
How to deal with glare for improved perception of Autonomous Vehicles	Apr 17, 2024	Autonomous DrivingAutonomous Vehicles	—Unverified
Achieving Rotation Invariance in Convolution Operations: Shifting from Data-Driven to Mechanism-Assured	Apr 17, 2024	Data Augmentationimage-classification	—Unverified
A Diffusion-based Data Generator for Training Object Recognition Models in Ultra-Range Distance	Apr 15, 2024	Gesture RecognitionObject Recognition	—Unverified
A Dataset and Framework for Learning State-invariant Object Representations	Apr 9, 2024	ObjectObject Recognition	CodeCode Available
MindSet: Vision. A toolbox for testing DNNs on key psychological experiments	Apr 8, 2024	DecoderObject Recognition	CodeCode Available

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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