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 921–930 of 2042 papers

Title	Date	Tasks	Status	Hype
Feature Learning for Accelerometer based Gait Recognition	Jul 31, 2020	Gait RecognitionObject Recognition	CodeCode Available	0
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases	Jul 28, 2020	ClassificationGeneral Classification	—Unverified	0
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve	Jul 26, 2020	Image to 3DObject	—Unverified	0
Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains	Jul 24, 2020	ClassificationFine-Grained Image Classification	—Unverified	0
Self-Supervised Learning Across Domains	Jul 24, 2020	Domain AdaptationDomain Generalization	—Unverified	0
Parkinson's Disease Detection with Ensemble Architectures based on ILSVRC Models	Jul 23, 2020	Object Recognition	—Unverified	0
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization	Jul 18, 2020	Anomaly DetectionDomain Generalization	—Unverified	0
Adaptive Hierarchical Decomposition of Large Deep Networks	Jul 17, 2020	Deep LearningObject Recognition	—Unverified	0
The Effect of Top-Down Attention in Occluded Object Recognition	Jul 17, 2020	ObjectObject Recognition	—Unverified	0
Do Adversarially Robust ImageNet Models Transfer Better?	Jul 16, 2020	Object RecognitionTransfer Learning	CodeCode Available	1

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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