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 1361–1370 of 2042 papers

Title	Date	Tasks	Status
Transformer-Based Microbubble Localization	Sep 23, 2022	Object RecognitionTransfer Learning	—Unverified
Transformer-Encoder Detector Module: Using Context to Improve Robustness to Adversarial Attacks on Object Detection	Nov 13, 2020	Objectobject-detection	—Unverified
Transformer in Touch: A Survey	May 21, 2024	Object RecognitionSurvey	—Unverified
Transparency and Explanation in Deep Reinforcement Learning Neural Networks	Sep 17, 2018	Atari GamesDeep Reinforcement Learning	—Unverified
MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding	May 28, 2024	3D Classification3D Object Recognition	—Unverified
TULIP: Towards Unified Language-Image Pretraining	Mar 19, 2025	Contrastive LearningData Augmentation	—Unverified
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model	Feb 29, 2024	Language ModelingLanguage Modelling	—Unverified
UAV (Unmanned Aerial Vehicles): Diverse Applications of UAV Datasets in Segmentation, Classification, Detection, and Tracking	Sep 5, 2024	Gesture RecognitionObject Recognition	—Unverified
Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions	Jun 30, 2021	Classificationimage-classification	—Unverified
Understanding Bayesian Rooms Using Composite 3D Object Models	Jun 1, 2013	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