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 1201–1210 of 2042 papers

Title	Date	Tasks	Status
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations	Mar 1, 2021	3D Object Classification3D Object Recognition	—Unverified
Self-supervised Optimization of Hand Pose Estimation using Anatomical Features and Iterative Learning	Jul 6, 2023	Activity RecognitionHand Pose Estimation	—Unverified
Self-supervised Visual Attribute Learning for Fashion Compatibility	Aug 1, 2020	AttributeObject Recognition	—Unverified
Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer	Nov 10, 2015	Object RecognitionScene Understanding	—Unverified
Semantic Kernel Forests from Multiple Taxonomies	Dec 1, 2012	ObjectObject Recognition	—Unverified
Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need	Jan 29, 2019	General Classificationimage-classification	—Unverified
Semantic Segmentation of Unmanned Aerial Vehicle Remote Sensing Images using SegFormer	Oct 1, 2024	Object RecognitionSegmentation	—Unverified
Semantic Topic Analysis of Traffic Camera Images	Sep 27, 2018	Data CompressionObject Recognition	—Unverified
Semi-Supervised Domain Adaptation With Subspace Learning for Visual Recognition	Jun 1, 2015	Domain AdaptationObject Recognition	—Unverified
Semi-supervised Training Data Generation for Multilingual Question Answering	May 1, 2018	Machine TranslationNamed Entity Recognition (NER)	—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