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 526–550 of 2042 papers

Title	Date	Tasks	Status	Score
Domain Generalization by Solving Jigsaw Puzzles	Jun 1, 2019	Domain GeneralizationObject Recognition	CodeCode Available	5
Domain Generalization by Solving Jigsaw Puzzles	Mar 16, 2019	Domain GeneralizationImage Classification	CodeCode Available	5
Does resistance to style-transfer equal Global Shape Bias? Measuring network sensitivity to global shape configuration	Oct 11, 2023	Image ClassificationObject Recognition	CodeCode Available	5
Mixed Evidence for Gestalt Grouping in Deep Neural Networks	Mar 14, 2022	Object Recognition	CodeCode Available	5
Domain-aware Triplet loss in Domain Generalization	Mar 1, 2023	ClusteringDomain Generalization	CodeCode Available	5
Domain Generalization In Robust Invariant Representation	Apr 7, 2023	Domain GeneralizationObject Recognition	CodeCode Available	5
Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition	Jun 4, 2019	3D Object RecognitionClustering	CodeCode Available	5
Dynamic Rectification Knowledge Distillation	Jan 27, 2022	Edge-computingKnowledge Distillation	CodeCode Available	5
Deep supervised learning for hyperspectral data classification through convolutional neural networks	Jul 26, 2015	ClassificationFew-Shot Image Classification	CodeCode Available	5
Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object Classification	Jan 29, 2023	MiscellaneousObject Recognition	CodeCode Available	5
Disparity Sliding Window: Object Proposals From Disparity Images	May 17, 2018	Objectobject-detection	CodeCode Available	5
Distinctive Image Features from Scale-Invariant Keypoints	Jan 5, 2004	Image RegistrationObject	CodeCode Available	5
DeepSat - A Learning framework for Satellite Imagery	Sep 11, 2015	ClassificationDenoising	CodeCode Available	5
Delta-encoder: an effective sample synthesis method for few-shot object recognition	Jun 12, 2018	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available	5
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition	Jul 10, 2018	ObjectObject Recognition	CodeCode Available	5
Adding Knowledge to Unsupervised Algorithms for the Recognition of Intent	Nov 12, 2020	3D Object ReconstructionObject Recognition	CodeCode Available	5
Dense and Diverse Capsule Networks: Making the Capsules Learn Better	May 10, 2018	General Classificationimage-classification	CodeCode Available	5
Discriminative Unsupervised Feature Learning with Convolutional Neural Networks	Dec 1, 2014	General ClassificationImage Classification	CodeCode Available	5
Task-generalizable Adversarial Attack based on Perceptual Metric	Nov 22, 2018	Adversarial Attackobject-detection	CodeCode Available	5
Do deep nets really need weight decay and dropout?	Feb 20, 2018	Data AugmentationObject Recognition	CodeCode Available	5
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation	Jul 12, 2016	ClassificationDomain Adaptation	CodeCode Available	5
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency	Jun 30, 2020	Decision MakingObject Recognition	CodeCode Available	5
Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance	Sep 24, 2019	Data AugmentationObject Recognition	CodeCode Available	5
Analysis and Optimization of Convolutional Neural Network Architectures	Jul 31, 2017	Data AugmentationObject Recognition	CodeCode Available	5
Deep Predictive Coding Network with Local Recurrent Processing for Object Recognition	May 19, 2018	image-classificationImage Classification	CodeCode Available	5

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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