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 1071–1080 of 2042 papers

Title	Date	Tasks	Status
Transferring Landmark Annotations for Cross-Dataset Face Alignment	Sep 2, 2014	Face AlignmentObject Recognition	—Unverified
Transformational Sparse Coding	Dec 8, 2017	ObjectObject Recognition	—Unverified
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

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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