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 521–530 of 2042 papers

Title	Date	Tasks	Status
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification	May 10, 2020	Few-Shot LearningGeneral Classification	—Unverified
Classifier-to-Generator Attack: Estimation of Training Data Distribution from Classifier	Jan 1, 2018	ClassificationFace Recognition	—Unverified
Answer-Type Prediction for Visual Question Answering	Jun 1, 2016	Object RecognitionPrediction	—Unverified
A Dynamic Programming Approach for Fast and Robust Object Pose Recognition From Range Images	Jun 1, 2015	Object RecognitionPose Estimation	—Unverified
Classification and Geometry of General Perceptual Manifolds	Oct 17, 2017	ClassificationGeneral Classification	—Unverified
CIFAR10 to Compare Visual Recognition Performance between Deep Neural Networks and Humans	Nov 18, 2018	General ClassificationObject	—Unverified
An Overview Of 3D Object Detection	Oct 29, 2020	3D Object DetectionObject	—Unverified
Development of Image Collection Method Using YOLO and Siamese Network	Oct 16, 2024	Image RetrievalObject Recognition	—Unverified
Development of Open Informal Dataset Affecting Autonomous Driving	Oct 14, 2020	Autonomous DrivingObject	—Unverified
D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition	Apr 8, 2025	Image GenerationObject	—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