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 4201–4250 of 10420 papers

TitleStatusHype
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual LearningCode0
Neural architecture impact on identifying temporally extended Reinforcement Learning tasks—0
Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images—0
RoFormer for Position Aware Multiple Instance Learning in Whole Slide Image ClassificationCode0
An evaluation of pre-trained models for feature extraction in image classification—0
Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuseCode0
RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network—0
A Comprehensive Review of Generative AI in Healthcare—0
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial AttacksCode0
Learnable Extended Activation Function (LEAF) for Deep Neural NetworksCode0
MVC: A Multi-Task Vision Transformer Network for COVID-19 Diagnosis from Chest X-ray Images—0
Ajwa or Medjool: a binary balanced dataset to teach machine learning عجوة أو مجدول: مجموعة بيانات متوازنة الصنفين لتدريس تعلم الآلة‏Code0
Tell Me a Story! Narrative-Driven XAI with Large Language ModelsCode0
PRIME: Prioritizing Interpretability in Failure Mode Extraction—0
Prototype Generation: Robust Feature Visualisation for Data Independent InterpretabilityCode0
RSAM: Learning on manifolds with Riemannian Sharpness-aware Minimization—0
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering—0
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative PretrainingCode0
SCoRe: Submodular Combinatorial Representation Learning—0
ResBit: Residual Bit Vector for Categorical Values—0
Ultra-low-power Image Classification on Neuromorphic HardwareCode0
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling—0
Logarithm-transform aided Gaussian Sampling for Few-Shot LearningCode0
EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification—0
AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language ModelsCode0
Applications of Sequential Learning for Medical Image Classification—0
Noise-Tolerant Few-Shot Unsupervised Adapter for Vision-Language Models—0
Boosting High Resolution Image Classification with Scaling-up TransformersCode0
ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks—0
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss—0
Multi-Label Feature Selection Using Adaptive and Transformed RelevanceCode0
PARTICLE: Part Discovery and Contrastive Learning for Fine-grained RecognitionCode0
Masked Image Residual Learning for Scaling Deeper Vision TransformersCode0
Single Image Test-Time Adaptation for Segmentation—0
Convolutional autoencoder-based multimodal one-class classification—0
Combining Two Adversarial Attacks Against Person Re-Identification Systems—0
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning—0
Multi-modal Domain Adaptation for REG via Relation Transfer—0
A Unified Scheme of ResNet and Softmax—0
Understanding Calibration of Deep Neural Networks for Medical Image Classification—0
Bridging Sensor Gaps via Attention Gated Tuning for Hyperspectral Image ClassificationCode0
Associative TransformerCode0
DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion—0
H²O: Heatmap by Hierarchical OcclusionCode0
COSE: A Consistency-Sensitivity Metric for Saliency on Image ClassificationCode0
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI—0
Investigating the Catastrophic Forgetting in Multimodal Large Language Models—0
The role of causality in explainable artificial intelligence—0
Heterogeneous Generative Knowledge Distillation with Masked Image Modeling—0
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification—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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 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
10RevCol-HTop 1 Accuracy90—Unverified