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 1251–1275 of 2042 papers

Title	Date	Tasks	Status
OrthographicNet: A Deep Transfer Learning Approach for 3D Object Recognition in Open-Ended Domains	Feb 8, 2019	3D Object RecognitionObject	CodeCode Available
Minimal Images in Deep Neural Networks: Fragile Object Recognition in Natural Images	Feb 8, 2019	Object Recognition	—Unverified
Software-Defined FPGA Accelerator Design for Mobile Deep Learning Applications	Feb 8, 2019	Deep LearningHigh-Level Synthesis	—Unverified
Lift-the-flap: what, where and when for context reasoning	Feb 1, 2019	DiagnosticGeneral Classification	—Unverified
Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need	Jan 29, 2019	General Classificationimage-classification	—Unverified
Bridging the Gap Between Computational Photography and Visual Recognition	Jan 28, 2019	Image RestorationObject Recognition	—Unverified
State-Regularized Recurrent Neural Networks	Jan 25, 2019	Language ModelingLanguage Modelling	—Unverified
Imaging-free object recognition enabled by optical coherence	Jan 23, 2019	ObjectObject Recognition	—Unverified
Overfitting Mechanism and Avoidance in Deep Neural Networks	Jan 19, 2019	General ClassificationObject Recognition	—Unverified
Multisource Region Attention Network for Fine-Grained Object Recognition in Remote Sensing Imagery	Jan 18, 2019	General ClassificationObject Recognition	—Unverified
Machine learning with neural networks	Jan 17, 2019	BIG-bench Machine LearningObject Recognition	CodeCode Available
Characterizing and evaluating adversarial examples for Offline Handwritten Signature Verification	Jan 10, 2019	BIG-bench Machine LearningObject Recognition	CodeCode Available
Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision	Jan 3, 2019	Active LearningBIG-bench Machine Learning	—Unverified
Volumetric Convolution: Automatic Representation Learning in Unit Ball	Jan 3, 2019	3D Object RecognitionObject Recognition	—Unverified
Pixel personality for dense object tracking in a 2D honeybee hive	Dec 31, 2018	AttributeMulti-Object Tracking	—Unverified
DCI: Discriminative and Contrast Invertible Descriptor	Dec 31, 2018	ObjectObject Recognition	—Unverified
Fine-tuning Convolutional Neural Networks for fine art classification	Dec 30, 2018	Artist classificationArtistic style classification	—Unverified
Artistic Object Recognition by Unsupervised Style Adaptation	Dec 28, 2018	Domain AdaptationObject	—Unverified
Deep Metric Transfer for Label Propagation with Limited Annotated Data	Dec 20, 2018	AllMetric Learning	CodeCode Available
Robust Graph Learning from Noisy Data	Dec 17, 2018	ClusteringGeneral Classification	CodeCode Available
Pre-Trained Convolutional Neural Network Features for Facial Expression Recognition	Dec 16, 2018	ClassificationFacial Expression Recognition	—Unverified
Using Motion and Internal Supervision in Object Recognition	Dec 13, 2018	Motion SegmentationObject	—Unverified
Grounded Human-Object Interaction Hotspots from Video	Dec 11, 2018	Human-Object Interaction DetectionObject	CodeCode Available
Deep RBFNet: Point Cloud Feature Learning using Radial Basis Functions	Dec 11, 2018	3D Object RecognitionObject Recognition	—Unverified
Spectral Illumination Correction: Achieving Relative Color Constancy Under the Spectral Domain	Dec 6, 2018	Camera CalibrationColor Constancy	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