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 14011425 of 10419 papers

TitleStatusHype
Exploiting LMM-based knowledge for image classification tasks0
Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines0
GrootVL: Tree Topology is All You Need in State Space ModelCode2
Compute-Efficient Medical Image Classification with Softmax-Free Transformers and Sequence Normalization0
Visual Car Brand Classification by Implementing a Synthetic Image Dataset Creation Pipeline0
DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic SurgeryCode0
UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue SegmentationCode1
Understanding the Cross-Domain Capabilities of Video-Based Few-Shot Action Recognition Models0
CoLa-DCE -- Concept-guided Latent Diffusion Counterfactual Explanations0
Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients0
MultiMax: Sparse and Multi-Modal Attention LearningCode1
Kolmogorov-Arnold Network for Satellite Image Classification in Remote SensingCode0
An Optimized Toolbox for Advanced Image Processing with Tsetlin Machine CompositesCode0
Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion ModelsCode0
Task-oriented Embedding Counts: Heuristic Clustering-driven Feature Fine-tuning for Whole Slide Image Classification0
CONFINE: Conformal Prediction for Interpretable Neural Networks0
An Effective Weight Initialization Method for Deep Learning: Application to Satellite Image ClassificationCode0
From Seedling to Harvest: The GrowingSoy Dataset for Weed Detection in Soy Crops via Instance SegmentationCode0
Advancing Supervised Local Learning Beyond Classification with Long-term Feature Bank0
Non-Federated Multi-Task Split Learning for Heterogeneous Sources0
Improving Generalization and Convergence by Enhancing Implicit RegularizationCode0
Robust Stable Spiking Neural NetworksCode0
Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space0
GenMix: Combining Generative and Mixture Data Augmentation for Medical Image Classification0
Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study0
Show:102550
← PrevPage 57 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
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