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 2026–2042 of 2042 papers

Title	Date	Tasks	Status
Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition	Dec 1, 2010	ObjectObject Recognition	—Unverified
A biologically plausible network for the computation of orientation dominance	Dec 1, 2010	Object Recognition	—Unverified
Tiled convolutional neural networks	Dec 1, 2010	Object Recognition	—Unverified
Using body-anchored priors for identifying actions in single images	Dec 1, 2010	Object Recognition	—Unverified
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification	Dec 1, 2010	General ClassificationObject	—Unverified
(RF)^2 -- Random Forest Random Field	Dec 1, 2010	Object Recognition	—Unverified
Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations	Dec 1, 2010	Object RecognitionVariational Inference	—Unverified
3D Object Recognition with Deep Belief Nets	Dec 1, 2009	3D Object RecognitionObject	—Unverified
On Invariance in Hierarchical Models	Dec 1, 2009	Object Recognition	—Unverified
Learning in Markov Random Fields using Tempered Transitions	Dec 1, 2009	Object Recognition	—Unverified
An Additive Latent Feature Model for Transparent Object Recognition	Dec 1, 2009	ObjectObject Recognition	—Unverified
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree	Dec 1, 2008	Novelty DetectionObject Recognition	—Unverified
Learning a discriminative hidden part model for human action recognition	Dec 1, 2008	Action RecognitionObject	—Unverified
Dimensionality Reduction for Data in Multiple Feature Representations	Dec 1, 2008	ClusteringDimensionality Reduction	—Unverified
A ``Shape Aware'' Model for semi-supervised Learning of Objects and its Context	Dec 1, 2008	ObjectObject Recognition	—Unverified
The Distribution Family of Similarity Distances	Dec 1, 2007	Object RecognitionScene Recognition	—Unverified
Distinctive Image Features from Scale-Invariant Keypoints	Jan 5, 2004	Image RegistrationObject	CodeCode Available

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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