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 51–75 of 2042 papers

Title	Date	Tasks	Status	Hype
Benchmarking Multimodal Mathematical Reasoning with Explicit Visual Dependency	Apr 24, 2025	BenchmarkingMath	CodeCode Available	1
E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning	Nov 30, 2023	Image ReconstructionObject Recognition	CodeCode Available	1
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency	Jun 16, 2022	Domain AdaptationObject Recognition	CodeCode Available	1
Empirical Upper Bound, Error Diagnosis and Invariance Analysis of Modern Object Detectors	Apr 5, 2020	Objectobject-detection	CodeCode Available	1
Event-based Asynchronous Sparse Convolutional Networks	Mar 20, 2020	object-detectionObject Detection	CodeCode Available	1
EventCLIP: Adapting CLIP for Event-based Object Recognition	Jun 10, 2023	Few-Shot LearningObject	CodeCode Available	1
Evolving Deep Neural Networks	Mar 1, 2017	Deep LearningImage Captioning	CodeCode Available	1
Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition	Mar 23, 2022	Event-based visionObject Recognition	CodeCode Available	1
Explainable GeoAI: Can saliency maps help interpret artificial intelligence's learning process? An empirical study on natural feature detection	Mar 16, 2023	Deep LearningObject Recognition	CodeCode Available	1
Adaptive Subspaces for Few-Shot Learning	Jun 1, 2020	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available	1
Adaptive Threshold for Online Object Recognition and Re-identification Tasks	Dec 28, 2020	ClassificationFace Recognition	CodeCode Available	1
Exploring the Transferability of Visual Prompting for Multimodal Large Language Models	Apr 17, 2024	HallucinationMultimodal Reasoning	CodeCode Available	1
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation	Aug 13, 2020	ClassificationFew-Shot Object Detection	CodeCode Available	1
DetMatch: Two Teachers are Better Than One for Joint 2D and 3D Semi-Supervised Object Detection	Mar 17, 2022	object-detectionObject Detection	CodeCode Available	1
Discover and Cure: Concept-aware Mitigation of Spurious Correlation	May 1, 2023	Lesion ClassificationObject Recognition	CodeCode Available	1
DesCo: Learning Object Recognition with Rich Language Descriptions	Jun 24, 2023	Language ModelingLanguage Modelling	CodeCode Available	1
Densely Connected Convolutional Networks	Aug 25, 2016	Breast Tumour ClassificationClassification	CodeCode Available	1
Describing Textures in the Wild	Nov 14, 2013	Material RecognitionObject Recognition	CodeCode Available	1
Distributed Deep Neural Networks over the Cloud, the Edge and End Devices	Sep 6, 2017	Distributed ComputingObject Recognition	CodeCode Available	1
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning	May 25, 2016	Object RecognitionVideo Prediction	CodeCode Available	1
Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks	Feb 17, 2023	DeblurringDeep Learning	CodeCode Available	1
DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny Objects	Mar 27, 2018	General ClassificationObject	CodeCode Available	1
Decoding Natural Images from EEG for Object Recognition	Aug 25, 2023	Contrastive LearningEEG	CodeCode Available	1
Debiased Self-Training for Semi-Supervised Learning	Feb 15, 2022	Object RecognitionScene Classification	CodeCode Available	1
Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet	Nov 4, 2014	Object RecognitionPoint Processes	CodeCode Available	1

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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