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 601–625 of 2042 papers

Title	Date	Tasks	Status	Hype
Generating Photo-realistic Images from LiDAR Point Clouds with Generative Adversarial Networks	Dec 20, 2021	ObjectObject Recognition	—Unverified	0
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision	Dec 18, 2021	Knowledge DistillationModel Compression	—Unverified	0
Co-training Transformer with Videos and Images Improves Action Recognition	Dec 14, 2021	Action ClassificationAction Recognition	—Unverified	0
Controlled-rearing studies of newborn chicks and deep neural networks	Dec 12, 2021	ObjectObject Recognition	—Unverified	0
On Adversarial Robustness of Point Cloud Semantic Segmentation	Dec 11, 2021	Adversarial RobustnessAutonomous Driving	CodeCode Available	0
A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition	Dec 10, 2021	Object Recognition	—Unverified	0
Sparse Depth Completion with Semantic Mesh Deformation Optimization	Dec 10, 2021	3D Object Recognition3D Reconstruction	—Unverified	0
Rethinking the Two-Stage Framework for Grounded Situation Recognition	Dec 10, 2021	Grounded Situation RecognitionObject Recognition	CodeCode Available	1
Implicit Feature Refinement for Instance Segmentation	Dec 9, 2021	Instance SegmentationObject Recognition	CodeCode Available	1
Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision	Dec 6, 2021	Computational EfficiencyEvent-based vision	—Unverified	0
Panoptic-aware Image-to-Image Translation	Dec 3, 2021	Image GenerationImage-to-Image Translation	—Unverified	0
N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras	Dec 2, 2021	ClassificationObject	CodeCode Available	1
PartImageNet: A Large, High-Quality Dataset of Parts	Dec 2, 2021	Activity RecognitionFew-Shot Learning	CodeCode Available	1
The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization	Dec 1, 2021	Autonomous DrivingDomain Adaptation	CodeCode Available	1
Your head is there to move you around: Goal-driven models of the primate dorsal pathway	Dec 1, 2021	Action RecognitionObject Recognition	—Unverified	0
Neural Regression, Representational Similarity, Model Zoology & Neural Taskonomy at Scale in Rodent Visual Cortex	Dec 1, 2021	BenchmarkingObject Recognition	CodeCode Available	1
An online passive-aggressive algorithm for difference-of-squares classification	Dec 1, 2021	ClassificationObject Recognition	—Unverified	0
Material Classification Using Active Temperature Controllable Robotic Gripper	Nov 30, 2021	ClassificationMaterial Classification	—Unverified	0
PAPooling: Graph-based Position Adaptive Aggregation of Local Geometry in Point Clouds	Nov 28, 2021	3D Shape Classificationgraph construction	—Unverified	0
TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNs	Nov 26, 2021	feature selectionImage Classification	CodeCode Available	1
EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation	Nov 24, 2021	Event-based Object SegmentationKnowledge Distillation	CodeCode Available	1
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks	Nov 24, 2021	Anomaly DetectionColorization	—Unverified	0
Inducing Functions through Reinforcement Learning without Task Specification	Nov 23, 2021	Decision Makingimage-classification	—Unverified	0
Object Recognition by a Minimally Pre-Trained System in the Process of Environment Exploration	Nov 23, 2021	ObjectObject Recognition	—Unverified	0
Adversarial Examples on Segmentation Models Can be Easy to Transfer	Nov 22, 2021	Adversarial RobustnessAttribute	—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