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 571–580 of 2042 papers

Title	Date	Tasks	Status
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex	Jun 16, 2024	BenchmarkingObject Recognition	—Unverified
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition	Aug 17, 2015	Object Recognition	—Unverified
Deep Network Guided Proof Search	Jan 24, 2017	Deep LearningGame of Go	—Unverified
Belief Tree Search for Active Object Recognition	Aug 13, 2017	ObjectObject Recognition	—Unverified
An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation	Sep 8, 2017	AnatomyObject Recognition	—Unverified
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers	Apr 25, 2019	3D Object RecognitionGeneral Classification	—Unverified
Deep Models for Multi-View 3D Object Recognition: A Review	Apr 23, 2024	3D Classification3D Object Recognition	—Unverified
Deep Mixture of Diverse Experts for Large-Scale Visual Recognition	Jun 24, 2017	Multi-Task LearningObject	—Unverified
Basic Level Categorization Facilitates Visual Object Recognition	Nov 12, 2015	ObjectObject Categorization	—Unverified
An Adaptive Descriptor Design for Object Recognition in the Wild	May 1, 2013	Domain AdaptationObject	—Unverified

Show:10 25 50

← PrevPage 58 of 205Next →

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