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 511–520 of 2042 papers

Title	Date	Tasks	Status
CLIP-Nav: Using CLIP for Zero-Shot Vision-and-Language Navigation	Nov 30, 2022	DiversityInstruction Following	—Unverified
A Performance Evaluation of Correspondence Grouping Methods for 3D Rigid Data Matching	Jul 5, 2019	3D Object RecognitionObject Recognition	—Unverified
A Comprehensive Review of Modern Object Segmentation Approaches	Jan 13, 2023	Image SegmentationObject	—Unverified
Detecting Deep Neural Network Defects with Data Flow Analysis	Sep 5, 2019	Object Recognition	—Unverified
Class-specific Anchoring Proposal for 3D Object Recognition in LIDAR and RGB Images	Jul 22, 2019	3D Object RecognitionAutonomous Driving	—Unverified
Anytime Recognition of Objects and Scenes	Jun 1, 2014	General ClassificationObject Recognition	—Unverified
Class incremental learning for video action classification	Sep 19, 2021	Action ClassificationAction Recognition In Videos	—Unverified
Classifying Malware Images with Convolutional Neural Network Models	Oct 30, 2020	ClassificationGeneral Classification	—Unverified
A dynamic vision sensor object recognition model based on trainable event-driven convolution and spiking attention mechanism	Sep 19, 2024	Object Recognition	—Unverified
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification	May 10, 2020	Few-Shot LearningGeneral Classification	—Unverified

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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