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 576–600 of 2042 papers

Title	Date	Tasks	Status	Hype
Survey on Self-supervised Representation Learning Using Image Transformations	Feb 17, 2022	Object RecognitionRepresentation Learning	—Unverified	0
Visual Ground Truth Construction as Faceted Classification	Feb 17, 2022	ClassificationObject Recognition	—Unverified	0
Reducing Overconfidence Predictions for Autonomous Driving Perception	Feb 16, 2022	Autonomous DrivingDecision Making	—Unverified	0
Debiased Self-Training for Semi-Supervised Learning	Feb 15, 2022	Object RecognitionScene Classification	CodeCode Available	1
HAKE: A Knowledge Engine Foundation for Human Activity Understanding	Feb 14, 2022	Action RecognitionHuman-Object Interaction Detection	CodeCode Available	2
BViT: Broad Attention based Vision Transformer	Feb 13, 2022	image-classificationImage Classification	CodeCode Available	0
Domain-Invariant Proposals based on a Balanced Domain Classifier for Object Detection	Feb 12, 2022	Domain Adaptationdomain classification	—Unverified	0
Positive-Unlabeled Domain Adaptation	Feb 11, 2022	Domain AdaptationObject Recognition	—Unverified	0
SafePicking: Learning Safe Object Extraction via Object-Level Mapping	Feb 11, 2022	Motion PlanningObject	CodeCode Available	1
Radar-based Materials Classification Using Deep Wavelet Scattering Transform: A Comparison of Centimeter vs. Millimeter Wave Units	Feb 8, 2022	ClassificationMaterial Classification	—Unverified	0
Are Transformers More Robust? Towards Exact Robustness Verification for Transformers	Feb 8, 2022	Autonomous DrivingObject Recognition	—Unverified	0
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models	Feb 8, 2022	DiagnosticImage Captioning	CodeCode Available	3
Comparative Study Between Distance Measures On Supervised Optimum-Path Forest Classification	Feb 8, 2022	Anomaly DetectionBenchmarking	CodeCode Available	0
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning	Jan 31, 2022	Drug DiscoveryEdge-computing	—Unverified	0
Dynamic Rectification Knowledge Distillation	Jan 27, 2022	Edge-computingKnowledge Distillation	CodeCode Available	0
A Probabilistic Framework for Dynamic Object Recognition in 3D Environment With A Novel Continuous Ground Estimation Method	Jan 27, 2022	Bayesian InferenceGPR	—Unverified	0
Winograd Convolution for Deep Neural Networks: Efficient Point Selection	Jan 25, 2022	Image SegmentationObject Recognition	—Unverified	0
A Machine Learning Framework for Distributed Functional Compression over Wireless Channels in IoT	Jan 24, 2022	Autonomous DrivingBIG-bench Machine Learning	—Unverified	0
Explainability Tools Enabling Deep Learning in Future In-Situ Real-Time Planetary Explorations	Jan 15, 2022	Image SegmentationObject Recognition	—Unverified	0
Task Independent Capsule-Based Agents for Deep Q-Learning	Jan 11, 2022	Deep Reinforcement LearningObject Recognition	—Unverified	0
A Simple Episodic Linear Probe Improves Visual Recognition in the Wild	Jan 1, 2022	Fine-Grained Image ClassificationImage Classification	CodeCode Available	2
Geometric and Textural Augmentation for Domain Gap Reduction	Jan 1, 2022	ObjectObject Recognition	CodeCode Available	0
AU Dataset for Visuo-Haptic Object Recognition for Robots	Dec 27, 2021	ObjectObject Recognition	—Unverified	0
Contrastive Object Detection Using Knowledge Graph Embeddings	Dec 21, 2021	Knowledge Graph EmbeddingsKnowledge Graphs	—Unverified	0
Object Recognition as Classification via Visual Properties	Dec 20, 2021	ClassificationObject	—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