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 151–160 of 2042 papers

Title	Date	Tasks	Status	Hype
UAV (Unmanned Aerial Vehicles): Diverse Applications of UAV Datasets in Segmentation, Classification, Detection, and Tracking	Sep 5, 2024	Gesture RecognitionObject Recognition	—Unverified	0
Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG	Sep 5, 2024	Adversarial RobustnessEEG	—Unverified	0
Low-Resolution Object Recognition with Cross-Resolution Relational Contrastive Distillation	Sep 4, 2024	Face RecognitionKnowledge Distillation	—Unverified	0
Discriminative Spatial-Semantic VOS Solution: 1st Place Solution for 6th LSVOS	Aug 29, 2024	ObjectObject Recognition	CodeCode Available	0
OpenNav: Efficient Open Vocabulary 3D Object Detection for Smart Wheelchair Navigation	Aug 25, 2024	3D Object DetectionNavigate	CodeCode Available	0
Optimizing Spatio-Temporal Information Processing in Spiking Neural Networks via Unconstrained Leaky Integrate-and-Fire Neurons and Hybrid Coding	Aug 22, 2024	object-detectionObject Detection	CodeCode Available	0
Finding Closure: A Closer Look at the Gestalt Law of Closure in Convolutional Neural Networks	Aug 22, 2024	Object Recognition	—Unverified	0
How Small is Big Enough? Open Labeled Datasets and the Development of Deep Learning	Aug 19, 2024	Deep LearningObject Recognition	—Unverified	0
Category-Prompt Refined Feature Learning for Long-Tailed Multi-Label Image Classification	Aug 15, 2024	image-classificationImage Classification	CodeCode Available	1
Robust Domain Generalization for Multi-modal Object Recognition	Aug 11, 2024	Domain GeneralizationMulti-Label Classification	—Unverified	0

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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