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 1131–1140 of 2042 papers

Title	Date	Tasks	Status
Reducing Label Effort: Self-Supervised meets Active Learning	Aug 25, 2021	Active LearningObject Recognition	—Unverified
Reducing Overconfidence Predictions for Autonomous Driving Perception	Feb 16, 2022	Autonomous DrivingDecision Making	—Unverified
Reducing the False Positive Rate Using Bayesian Inference in Autonomous Driving Perception	Sep 9, 2023	Autonomous DrivingBayesian Inference	—Unverified
Refining Neural Activation Patterns for Layer-Level Concept Discovery in Neural Network-Based Receivers	May 21, 2025	ClusteringObject Recognition	—Unverified
Reflection Invariant and Symmetry Detection	May 30, 2017	Object RecognitionRetrieval	—Unverified
Regional Active Contours based on Variational level sets and Machine Learning for Image Segmentation	Oct 31, 2015	BIG-bench Machine LearningImage Segmentation	—Unverified
Region-Manipulated Fusion Networks for Pancreatitis Recognition	Jul 3, 2019	Object Recognition	—Unverified
Regularized Evolutionary Algorithm for Dynamic Neural Topology Search	May 15, 2019	Evolutionary AlgorithmsNeural Architecture Search	—Unverified
Regularizing Max-Margin Exemplars by Reconstruction and Generative Models	Jun 1, 2015	Object Recognition	—Unverified
Regulation of Mouse Learning and Mood by the Anti-Inflammatory Cytokine Interleukin-10	Jun 26, 2023	Object 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