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 83768400 of 10420 papers

TitleStatusHype
Gaze-Guided Learning: Avoiding Shortcut Bias in Visual ClassificationCode0
Language-Driven Anchors for Zero-Shot Adversarial RobustnessCode0
An Automated Ensemble Learning Framework Using Genetic Programming for Image ClassificationCode0
On-the-Job Learning with Bayesian Decision TheoryCode0
Machine Perceptual Quality: Evaluating the Impact of Severe Lossy Compression on Audio and Image ModelsCode0
GDN: A Stacking Network Used for Skin Cancer DiagnosisCode0
Enhancing Cross-task Transferability of Adversarial Examples with Dispersion ReductionCode0
RepAct: The Re-parameterizable Adaptive Activation FunctionCode0
MAD-VAE: Manifold Awareness Defense Variational AutoencoderCode0
General Domain Adaptation Through Proportional Progressive Pseudo LabelingCode0
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays OffCode0
General Greedy De-bias LearningCode0
Pruning vs XNOR-Net: A Comprehensive Study of Deep Learning for Audio Classification on Edge-devicesCode0
Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale EmbeddingsCode0
On the notion of number in humans and machinesCode0
Evaluating Supervision Levels Trade-Offs for Infrared-Based People CountingCode0
PSA-MIL: A Probabilistic Spatial Attention-Based Multiple Instance Learning for Whole Slide Image ClassificationCode0
Automatic location detection based on deep learningCode0
An Architecture Combining Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for Image ClassificationCode0
On the Practicality of Deterministic Epistemic UncertaintyCode0
Correcting the Triplet Selection Bias for Triplet LossCode0
PSDPM: Prototype-based Secondary Discriminative Pixels Mining for Weakly Supervised Semantic SegmentationCode0
CoRLD: Contrastive Representation Learning Of Deformable Shapes In ImagesCode0
Making Better Mistakes: Leveraging Class Hierarchies with Deep NetworksCode0
Robust Collaborative Learning with Linear Gradient OverheadCode0
Show:102550
← PrevPage 336 of 417Next →

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
10RevCol-HTop 1 Accuracy90Unverified