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 701710 of 10419 papers

TitleStatusHype
CODE-CL: Conceptor-Based Gradient Projection for Deep Continual LearningCode1
Multimodal Autoregressive Pre-training of Large Vision EncodersCode5
Uni-Mlip: Unified Self-supervision for Medical Vision Language Pre-training0
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual AttacksCode0
LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model TrainingCode0
MEGL: Multimodal Explanation-Guided Learning0
Problem-dependent convergence bounds for randomized linear gradient compression0
Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification0
Invariant Shape Representation Learning For Image ClassificationCode0
Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning0
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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