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 14261450 of 10419 papers

TitleStatusHype
Histopathological Image Classification with Cell Morphology Aware Deep Neural NetworksCode1
Causal Transportability for Visual RecognitionCode1
DAM: Dynamic Adapter Merging for Continual Video QA LearningCode1
Better plain ViT baselines for ImageNet-1kCode1
How Important is Weight Symmetry in Backpropagation?Code1
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image ClassificationCode1
Shallow-Deep Networks: Understanding and Mitigating Network OverthinkingCode1
How Well Do Self-Supervised Models Transfer?Code1
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object DetectionCode1
DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual ExplanationsCode1
HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight TransformersCode1
HS-ResNet: Hierarchical-Split Block on Convolutional Neural NetworkCode1
Beyond Categorical Label Representations for Image ClassificationCode1
Deep Factorized Metric LearningCode1
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label NoiseCode1
CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image ClassificationCode1
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy LabelsCode1
Hyperspectral Band Selection for Multispectral Image Classification with Convolutional NetworksCode1
Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future ProspectsCode1
Beyond Gradient Averaging in Parallel Optimization: Improved Robustness through Gradient Agreement FilteringCode1
Hyperspectral Image Classification with Attention Aided CNNsCode1
Identity Mappings in Deep Residual NetworksCode1
Detecting AutoAttack Perturbations in the Frequency DomainCode1
Analyzing Vision Transformers for Image Classification in Class Embedding SpaceCode1
Cross-modulated Few-shot Image Generation for Colorectal Tissue ClassificationCode1
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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
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified