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 781–790 of 2042 papers

Title	Date	Tasks	Status	Hype
Learning Visual Models using a Knowledge Graph as a Trainer	Feb 17, 2021	Graph EmbeddingGraph Neural Network	—Unverified	0
Comparison of semi-supervised deep learning algorithms for audio classification	Feb 16, 2021	Audio ClassificationAudio Tagging	CodeCode Available	1
An ecologically motivated image dataset for deep learning yields better models of human vision	Feb 15, 2021	Object Recognition	—Unverified	0
Seeing by haptic glance: reinforcement learning-based 3D object Recognition	Feb 15, 2021	3D Object RecognitionObject	—Unverified	0
A Too-Good-to-be-True Prior to Reduce Shortcut Reliance	Feb 12, 2021	Object Recognitionvalid	—Unverified	0
Audiovisual Highlight Detection in Videos	Feb 11, 2021	Highlight DetectionObject Recognition	—Unverified	0
What does LIME really see in images?	Feb 11, 2021	Object RecognitionSuperpixels	CodeCode Available	0
Enhancing efficiency of object recognition in different categorization levels by reinforcement learning in modular spiking neural networks	Feb 10, 2021	Object Recognition	—Unverified	0
Content Placement in Networks of Similarity Caches	Feb 9, 2021	ObjectObject Recognition	—Unverified	0
Large Scale Long-tailed Product Recognition System at Alibaba	Feb 9, 2021	Object Recognition	—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