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 2026–2042 of 2042 papers

Title	Date	Tasks	Status
Visually Interpretable Subtask Reasoning for Visual Question Answering	May 12, 2025	AttributeObject Recognition	CodeCode Available
Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment	Nov 16, 2017	Domain AdaptationObject Recognition	CodeCode Available
The Cooperative Network Architecture: Learning Structured Networks as Representation of Sensory Patterns	Jul 8, 2024	object-detectionObject Detection	CodeCode Available
PANDA: Pose Aligned Networks for Deep Attribute Modeling	Nov 21, 2013	AttributeFacial Attribute Classification	CodeCode Available
Robust Visual Tracking via Hierarchical Convolutional Features	Jul 12, 2017	Object RecognitionVisual Tracking	CodeCode Available
Looking Fast and Slow: Memory-Guided Mobile Video Object Detection	Mar 25, 2019	object-detectionObject Detection	CodeCode Available
Domain Generalization by Solving Jigsaw Puzzles	Mar 16, 2019	Domain GeneralizationImage Classification	CodeCode Available
Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning	Mar 19, 2017	object-detectionObject Detection	CodeCode Available
Look Twice: A Generalist Computational Model Predicts Return Fixations across Tasks and Species	Jan 5, 2021	Object Recognition	CodeCode Available
Lost in Context: The Influence of Context on Feature Attribution Methods for Object Recognition	Nov 5, 2024	ObjectObject Recognition	CodeCode Available
Spectral Illumination Correction: Achieving Relative Color Constancy Under the Spectral Domain	Dec 6, 2018	Camera CalibrationColor Constancy	CodeCode Available
Understanding and Visualizing Deep Visual Saliency Models	Mar 6, 2019	Object RecognitionSaliency Prediction	CodeCode Available
Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery	Mar 26, 2018	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available
Domain-aware Triplet loss in Domain Generalization	Mar 1, 2023	ClusteringDomain Generalization	CodeCode Available
AGA: Attribute-Guided Augmentation	Jul 1, 2017	AttributeData Augmentation	CodeCode Available
LVLM-COUNT: Enhancing the Counting Ability of Large Vision-Language Models	Dec 1, 2024	Object Recognition	CodeCode Available
Visual Probing and Correction of Object Recognition Models with Interactive user feedback	Dec 29, 2020	Autonomous DrivingObject	CodeCode Available

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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