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 1891–1900 of 2042 papers

Title	Date	Tasks	Status
Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence	Oct 1, 2019	CPUGPU	—Unverified
Detailed Evaluation of Modern Machine Learning Approaches for Optic Plastics Sorting	May 22, 2025	Instance SegmentationObject Recognition	—Unverified
Detecting and Correcting Adversarial Images Using Image Processing Operations	Dec 11, 2019	BIG-bench Machine LearningObject Recognition	—Unverified
Detecting Deep Neural Network Defects with Data Flow Analysis	Sep 5, 2019	Object Recognition	—Unverified
Detecting Visual Text	Jun 1, 2012	Image RetrievalObject Recognition	—Unverified
Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition	May 28, 2014	Event DetectionObject	—Unverified
Bootstrapping Developmental AIs: From Simple Competences to Intelligent Human-Compatible AIs	Aug 8, 2023	Board GamesCommon Sense Reasoning	—Unverified
Development of an Inclusive Educational Platform Using Open Technologies and Machine Learning: A Case Study on Accessibility Enhancement	Jan 22, 2025	Object Recognitionspeech-recognition	—Unverified
Development of collective behavior in newborn artificial agents	Nov 6, 2021	Deep Reinforcement LearningObject Recognition	—Unverified
Development of Image Collection Method Using YOLO and Siamese Network	Oct 16, 2024	Image RetrievalObject Recognition	—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