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 701–710 of 2042 papers

Title	Date	Tasks	Status
A neuromorphic approach to image processing and machine vision	Aug 7, 2022	Image SegmentationObject Recognition	—Unverified
CNN-based search model underestimates attention guidance by simple visual features	Mar 29, 2021	Object Recognition	—Unverified
Advancing Egocentric Video Question Answering with Multimodal Large Language Models	Apr 6, 2025	Object RecognitionQuestion Answering	—Unverified
300 GHz Radar Object Recognition based on Deep Neural Networks and Transfer Learning	Dec 6, 2019	ObjectObject Recognition	—Unverified
Evaluating Hallucination in Large Vision-Language Models based on Context-Aware Object Similarities	Jan 25, 2025	HallucinationObject	—Unverified
Evaluating Local Geometric Feature Representations for 3D Rigid Data Matching	Jun 29, 2019	Object RecognitionPoint Cloud Registration	—Unverified
Evaluating Multimodal Language Models as Visual Assistants for Visually Impaired Users	Mar 28, 2025	Object RecognitionReading Comprehension	—Unverified
Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data	Oct 2, 2020	BIG-bench Machine LearningDecompensation	—Unverified
Evaluation of Environmental Conditions on Object Detection using Oriented Bounding Boxes for AR Applications	Jun 29, 2023	object-detectionObject Detection	—Unverified
Exploration of object recognition from 3D point cloud	Jul 5, 2017	ObjectObject 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