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 201–225 of 2042 papers

Title	Date	Tasks	Status	Hype
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video	Sep 25, 2022	Long-tail Video Object SegmentationMulti-Object Tracking	CodeCode Available	1
Person Re-Identification with a Locally Aware Transformer	Jun 7, 2021	Object RecognitionPerson Re-Identification	CodeCode Available	1
AdaNorm: Adaptive Gradient Norm Correction based Optimizer for CNNs	Oct 12, 2022	Object Recognition	CodeCode Available	1
ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain Adaptation	May 29, 2022	Domain AdaptationObject Recognition	CodeCode Available	1
RAMP-CNN: A Novel Neural Network for Enhanced Automotive Radar Object Recognition	Nov 13, 2020	object-detectionObject Detection	CodeCode Available	1
Recognize Any Regions	Nov 2, 2023	object-detectionObject Detection	CodeCode Available	1
Benchmarking Multimodal Mathematical Reasoning with Explicit Visual Dependency	Apr 24, 2025	BenchmarkingMath	CodeCode Available	1
Robust and Efficient Post-Processing for Video Object Detection (REPP)	Oct 1, 2020	Autonomous DrivingDense Object Detection	CodeCode Available	1
Causal Transportability for Visual Recognition	Apr 26, 2022	image-classificationImage Classification	CodeCode Available	1
Billion-scale semi-supervised learning for image classification	May 2, 2019	ClassificationGeneral Classification	CodeCode Available	1
Bilateral Event Mining and Complementary for Event Stream Super-Resolution	May 16, 2024	Object RecognitionSuper-Resolution	CodeCode Available	1
Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like?	Jan 2, 2020	Object Recognition	CodeCode Available	1
Self-supervised learning of video representations from a child's perspective	Feb 1, 2024	Object RecognitionSelf-Supervised Learning	CodeCode Available	1
Self-Supervised Learning with Kernel Dependence Maximization	Jun 15, 2021	Depth EstimationLinear evaluation	CodeCode Available	1
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency	Jun 16, 2022	Domain AdaptationObject Recognition	CodeCode Available	1
SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition	Apr 23, 2020	Action RecognitionFace Identification	CodeCode Available	1
CLIP-guided Federated Learning on Heterogeneous and Long-Tailed Data	Dec 14, 2023	Contrastive LearningFederated Learning	CodeCode Available	1
Single Shot MC Dropout Approximation	Jul 7, 2020	Autonomous DrivingObject Recognition	CodeCode Available	1
Contributions of Shape, Texture, and Color in Visual Recognition	Jul 19, 2022	AttributeGeneral Classification	CodeCode Available	1
DesCo: Learning Object Recognition with Rich Language Descriptions	Jun 24, 2023	Language ModelingLanguage Modelling	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
An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation	Sep 8, 2017	AnatomyObject Recognition	—Unverified	0
An Adaptive Descriptor Design for Object Recognition in the Wild	May 1, 2013	Domain AdaptationObject	—Unverified	0
A biologically plausible network for the computation of orientation dominance	Dec 1, 2010	Object Recognition	—Unverified	0
A Multisensory Learning Architecture for Rotation-invariant Object Recognition	Sep 14, 2020	BenchmarkingObject	—Unverified	0

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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