Computer Vision
 
Edit

Image Classification

3788 papers with code • 142 benchmarks • 240 datasets

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

Libraries

Use these libraries to find Image Classification models and implementations

Datasets

Subtasks

Latest papers with no code

Most implemented Social Latest No code

EncodeNet: A Framework for Boosting DNN Accuracy with Entropy-driven Generalized Converting Autoencoder

no code yet • 21 Apr 2024

Our experimental results demonstrate that EncodeNet improves the accuracy of VGG16 from 92. 64% to 94. 05% on CIFAR-10 and RestNet20 from 74. 56% to 76. 04% on CIFAR-100.

 
Paper
Add Code

I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning

no code yet • 21 Apr 2024

Online task-free continual learning (OTFCL) is a more challenging variant of continual learning which emphasizes the gradual shift of task boundaries and learns in an online mode.

 
Paper
Add Code

Nested-TNT: Hierarchical Vision Transformers with Multi-Scale Feature Processing

no code yet • 20 Apr 2024

ViT divides an image into several local patches, known as "visual sentences".

 
Paper
Add Code

Transformer-Based Classification Outcome Prediction for Multimodal Stroke Treatment

no code yet • 19 Apr 2024

This study proposes a multi-modal fusion framework Multitrans based on the Transformer architecture and self-attention mechanism.

 
Paper
Add Code

A Hybrid Generative and Discriminative PointNet on Unordered Point Sets

no code yet • 19 Apr 2024

This paper proposes GDPNet, the first hybrid Generative and Discriminative PointNet that extends JEM for point cloud classification and generation.

 
Paper
Add Code

On-board classification of underwater images using hybrid classical-quantum CNN based method

no code yet • 19 Apr 2024

In the current work, we use quantum-classical hybrid machine learning methods for real-time under-water object recognition on-board an AUV for the first time.

 
Paper
Add Code

Concept Induction using LLMs: a user experiment for assessment

no code yet • 18 Apr 2024

To evaluate the output, we compare the concepts generated by the LLM with two other methods: concepts generated by humans and the ECII heuristic concept induction system.

 
Paper
Add Code

A Perspective on Deep Vision Performance with Standard Image and Video Codecs

no code yet • 18 Apr 2024

The use of standardized codecs, such as JPEG or H. 264, is prevalent and required to ensure interoperability.

 
Paper
Add Code

Achieving Rotation Invariance in Convolution Operations: Shifting from Data-Driven to Mechanism-Assured

no code yet • 17 Apr 2024

Based on various types of non-learnable operators, including gradient, sort, local binary pattern, maximum, etc., this paper designs a set of new convolution operations that are natually invariant to arbitrary rotations.

 
Paper
Add Code

A Progressive Framework of Vision-language Knowledge Distillation and Alignment for Multilingual Scene

no code yet • 17 Apr 2024

Pre-trained vision-language (V-L) models such as CLIP have shown excellent performance in many downstream cross-modal tasks.

 
Paper
Add Code
Contact us on: hello@paperswithcode.com . Papers With Code is a free resource with all data licensed under CC-BY-SA.
Terms Data policy Cookies policy