SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

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Showing 7001–7025 of 10420 papers

TitleStatusHype
Semi-supervised dictionary learning with graph regularization and active pointsCode0
An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks—0
Prune Responsibly—0
QuantNet: Learning to Quantize by Learning within Fully Differentiable Framework—0
Learning Shape Features and Abstractions in 3D Convolutional Neural Networks for Detecting Alzheimer's Disease—0
Understanding the Role of Individual Units in a Deep Neural NetworkCode1
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification—0
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective—0
TanhSoft -- a family of activation functions combining Tanh and Softplus—0
Region Comparison Network for Interpretable Few-shot Image ClassificationCode1
Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning—0
How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks—0
Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset ShiftsCode1
Black Box to White Box: Discover Model Characteristics Based on Strategic Probing—0
PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks—0
Data Augmentation for Electrocardiogram Classification with Deep Neural Network—0
An Efficient Technique for Image Captioning using Deep Neural Network—0
S-SGD: Symmetrical Stochastic Gradient Descent with Weight Noise Injection for Reaching Flat Minima—0
Explanation of Unintended Radiated Emission Classification via LIME—0
ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution—0
Improving Self-Organizing Maps with Unsupervised Feature ExtractionCode1
Imbalanced Image Classification with Complement Cross EntropyCode1
S3NAS: Fast NPU-aware Neural Architecture Search MethodologyCode1
Multimodal brain tumor classification—0
GTAdam: Gradient Tracking with Adaptive Momentum for Distributed Online Optimization—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified