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 1851–1875 of 2042 papers

Title	Date	Tasks	Status	Hype
Joint Deep Learning for Car Detection	Dec 25, 2014	Deep Learningobject-detection	—Unverified	0
Multiple Object Recognition with Visual Attention	Dec 24, 2014	ObjectObject Recognition	CodeCode Available	0
Unsupervised Feature Learning with C-SVDDNet	Dec 23, 2014	Image ClassificationObject Recognition	—Unverified	0
Striving for Simplicity: The All Convolutional Net	Dec 21, 2014	AllImage Classification	CodeCode Available	0
Self-informed neural network structure learning	Dec 20, 2014	Object Recognition	—Unverified	0
Training Deep Neural Networks on Noisy Labels with Bootstrapping	Dec 20, 2014	Emotion RecognitionObject Recognition	CodeCode Available	1
An Analysis of Unsupervised Pre-training in Light of Recent Advances	Dec 20, 2014	Data AugmentationImage Classification	CodeCode Available	0
Towards Open World Recognition	Dec 18, 2014	Object Recognition	—Unverified	0
Compressing Deep Convolutional Networks using Vector Quantization	Dec 18, 2014	ClassificationClustering	—Unverified	0
Object Recognition Using Deep Neural Networks: A Survey	Dec 10, 2014	ObjectObject Recognition	—Unverified	0
Theano-based Large-Scale Visual Recognition with Multiple GPUs	Dec 7, 2014	GPUObject Recognition	CodeCode Available	0
Deep Symmetry Networks	Dec 1, 2014	Object RecognitionTranslation	—Unverified	0
Zero-shot recognition with unreliable attributes	Dec 1, 2014	AttributeObject Recognition	—Unverified	0
Discriminative Unsupervised Feature Learning with Convolutional Neural Networks	Dec 1, 2014	General ClassificationImage Classification	CodeCode Available	0
Learning Deep Features for Scene Recognition using Places Database	Dec 1, 2014	DiversityObject	—Unverified	0
Self-Adaptable Templates for Feature Coding	Dec 1, 2014	image-classificationImage Classification	—Unverified	0
Fast Sublinear Sparse Representation using Shallow Tree Matching Pursuit	Dec 1, 2014	Compressive SensingDenoising	—Unverified	0
Fisher Vectors Derived from Hybrid Gaussian-Laplacian Mixture Models for Image Annotation	Nov 26, 2014	Image RetrievalObject Recognition	—Unverified	0
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors	Nov 24, 2014	Fine-Grained Image ClassificationGeneral Classification	—Unverified	0
Visual Sentiment Prediction with Deep Convolutional Neural Networks	Nov 21, 2014	Object RecognitionPrediction	—Unverified	0
Maximum Likelihood Directed Enumeration Method in Piecewise-Regular Object Recognition	Nov 20, 2014	Face RecognitionObject Recognition	—Unverified	0
Sparse distributed localized gradient fused features of objects	Nov 19, 2014	ObjectObject Recognition	—Unverified	0
Zero-Aliasing Correlation Filters for Object Recognition	Nov 10, 2014	ObjectObject Localization	—Unverified	0
Abnormal Object Recognition: A Comprehensive Study	Nov 9, 2014	Anomaly DetectionObject	—Unverified	0
Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet	Nov 4, 2014	Object RecognitionPoint Processes	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