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 1941–1950 of 2042 papers

Title	Date	Tasks	Status
Duplex Generative Adversarial Network for Unsupervised Domain Adaptation	Jun 1, 2018	Domain AdaptationGenerative Adversarial Network	—Unverified
DVLTA-VQA: Decoupled Vision-Language Modeling with Text-Guided Adaptation for Blind Video Quality Assessment	Apr 16, 2025	Language ModelingLanguage Modelling	—Unverified
Dynamic Atomic Column Detection in Transmission Electron Microscopy Videos via Ridge Estimation	Feb 2, 2023	Object Recognition	—Unverified
Dynamic reshaping of functional brain networks during visual object recognition	Jul 31, 2018	EEGElectroencephalogram (EEG)	—Unverified
Dynamic texture recognition using time-causal and time-recursive spatio-temporal receptive fields	Oct 13, 2017	DescriptiveDynamic Texture Recognition	—Unverified
Easy Batch Normalization	Jul 18, 2022	Object Recognition	—Unverified
eCNN: A Block-Based and Highly-Parallel CNN Accelerator for Edge Inference	Oct 13, 2019	4kDenoising	—Unverified
ECOR: Explainable CLIP for Object Recognition	Apr 19, 2024	Objectobject-detection	—Unverified
Edge Aware Learning for 3D Point Cloud	Sep 23, 2023	ObjectObject Recognition	—Unverified
Edge Detection Based Shape Identification	Apr 7, 2016	Edge DetectionObject	—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