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 351–375 of 2042 papers

Title	Date	Tasks	Status	Score
Faster gaze prediction with dense networks and Fisher pruning	Jan 17, 2018	Gaze EstimationGaze Prediction	CodeCode Available	5
Context-Aware Zero-Shot Recognition	Apr 19, 2019	Object RecognitionZero-Shot Learning	CodeCode Available	5
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images	Jan 26, 2016	DiversityGeneral Classification	CodeCode Available	5
Fast Feature Fool: A data independent approach to universal adversarial perturbations	Jul 18, 2017	Object Recognition	CodeCode Available	5
Teaching CNNs to mimic Human Visual Cognitive Process & regularise Texture-Shape bias	Jun 25, 2020	Object Recognition	CodeCode Available	5
HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale Visual Recognition	Oct 3, 2014	image-classificationImage Classification	CodeCode Available	5
Hierarchical Superpixel Segmentation via Structural Information Theory	Jan 13, 2025	graph constructiongraph partitioning	CodeCode Available	5
Collaboratively Weighting Deep and Classic Representation via L2 Regularization for Image Classification	Feb 21, 2018	ClassificationGeneral Classification	CodeCode Available	5
Generalizing to unseen domains via distribution matching	Nov 3, 2019	Domain GeneralizationLEMMA	CodeCode Available	5
Human Pose Estimation for Real-World Crowded Scenarios	Jul 16, 2019	Data AugmentationObject Recognition	CodeCode Available	5
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning	Feb 28, 2017	Domain AdaptationObject Recognition	CodeCode Available	5
Feature Learning by Multidimensional Scaling and its Applications in Object Recognition	Jun 14, 2013	Object Recognition	CodeCode Available	5
Exploring Novel Object Recognition and Spontaneous Location Recognition Machine Learning Analysis Techniques in Alzheimer's Mice	Dec 12, 2023	Object RecognitionPose Estimation	CodeCode Available	5
ImageNet Classification with Deep Convolutional Neural Networks	Dec 1, 2012	General ClassificationGPU	CodeCode Available	5
CBM: Curriculum by Masking	Jul 6, 2024	Object RecognitionTransfer Learning	CodeCode Available	5
Image Privacy Prediction Using Deep Neural Networks	Mar 8, 2019	Object RecognitionPrediction	CodeCode Available	5
Facial Expression Recognition Research Based on Deep Learning	Apr 22, 2019	Deep LearningFacial Expression Recognition	CodeCode Available	5
Causal importance of orientation selectivity for generalization in image recognition	May 1, 2019	image-classificationImage Classification	CodeCode Available	5
Experiments with mmWave Automotive Radar Test-bed	Dec 29, 2019	Object Recognition	CodeCode Available	5
EXOT: Exit-aware Object Tracker for Safe Robotic Manipulation of Moving Object	Jun 8, 2023	ObjectObject Recognition	CodeCode Available	5
Comparative Study Between Distance Measures On Supervised Optimum-Path Forest Classification	Feb 8, 2022	Anomaly DetectionBenchmarking	CodeCode Available	5
A Framework of Transfer Learning in Object Detection for Embedded Systems	Nov 12, 2018	Hyperparameter OptimizationObject	CodeCode Available	5
Comparing deep neural networks against humans: object recognition when the signal gets weaker	Jun 21, 2017	General ClassificationObject	CodeCode Available	5
Improving Unsupervised Task-driven Models of Ventral Visual Stream via Relative Position Predictivity	May 13, 2025	Contrastive LearningObject	CodeCode Available	5
A Comparative Analysis on Bangla Handwritten Digit Recognition with Data Augmentation and Non-Augmentation Process	Jun 26, 2020	Data AugmentationHandwritten Digit Recognition	CodeCode Available	5

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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