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

Showing 11761200 of 10419 papers

TitleStatusHype
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source DataCode0
FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image ClassificationCode0
Assessing Sample Quality via the Latent Space of Generative ModelsCode0
HyperbolicLR: Epoch insensitive learning rate schedulerCode0
Toward Efficient Convolutional Neural Networks With Structured Ternary PatternsCode0
Subgraph Clustering and Atom Learning for Improved Image Classification0
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks0
EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition0
Nutrispace: A novel color space to enhance deep learning based early detection of cucurbits nutritional deficiency0
CoAPT: Context Attribute words for Prompt Tuning0
Differential Privacy Mechanisms in Neural Tangent Kernel Regression0
CycleMix: Mixing Source Domains for Domain Generalization in Style-Dependent DataCode0
Addressing Imbalance for Class Incremental Learning in Medical Image Classification0
GroupMamba: Efficient Group-Based Visual State Space ModelCode2
ColorMAE: Exploring data-independent masking strategies in Masked AutoEncodersCode0
FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification0
Benchmarking Robust Self-Supervised Learning Across Diverse Downstream TasksCode0
LookupViT: Compressing visual information to a limited number of tokens0
Adaptive Cascading Network for Continual Test-Time AdaptationCode0
Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients0
Non-parametric regularization for class imbalance federated medical image classificationCode0
Siamese Transformer Networks for Few-shot Image Classification0
LiteGPT: Large Vision-Language Model for Joint Chest X-ray Localization and Classification TaskCode1
Generalized Coverage for More Robust Low-Budget Active Learning0
A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified