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 11–20 of 2042 papers

Title	Date	Tasks	Status	Hype
Efficient Estimation of Regularized Tyler's M-Estimator Using Approximate LOOCV	May 30, 2025	Face RecognitionObject Recognition	—Unverified	0
TrackVLA: Embodied Visual Tracking in the Wild	May 29, 2025	Language ModelingLanguage Modelling	—Unverified	0
SHTOcc: Effective 3D Occupancy Prediction with Sparse Head and Tail Voxels	May 28, 2025	Autonomous DrivingGPU	CodeCode Available	0
ADD-SLAM: Adaptive Dynamic Dense SLAM with Gaussian Splatting	May 26, 2025	NeRFobject-detection	—Unverified	0
Detailed Evaluation of Modern Machine Learning Approaches for Optic Plastics Sorting	May 22, 2025	Instance SegmentationObject Recognition	—Unverified	0
RAZER: Robust Accelerated Zero-Shot 3D Open-Vocabulary Panoptic Reconstruction with Spatio-Temporal Aggregation	May 21, 2025	GPUNatural Language Queries	—Unverified	0
InstructSAM: A Training-Free Framework for Instruction-Oriented Remote Sensing Object Recognition	May 21, 2025	Earth ObservationObject	CodeCode Available	2
Refining Neural Activation Patterns for Layer-Level Concept Discovery in Neural Network-Based Receivers	May 21, 2025	ClusteringObject Recognition	—Unverified	0
PLAICraft: Large-Scale Time-Aligned Vision-Speech-Action Dataset for Embodied AI	May 19, 2025	BenchmarkingMinecraft	—Unverified	0
Model alignment using inter-modal bridges	May 18, 2025	Image Generationmodel	—Unverified	0

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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