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Found 22 papers, 7 papers with code
ProMamba: Prompt-Mamba for polyp segmentation
To address these issues, we propose a segmentation model based on Prompt-Mamba, which incorporates the latest Vision-Mamba and prompt technologies.
A Segmentation Foundation Model for Diverse-type Tumors
Large pre-trained models with their numerous model parameters and extensive training datasets have shown excellent performance in various tasks.
FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation
The Segmentation Anything Model (SAM) serves as a powerful foundation model for visual segmentation and can be adapted for medical image segmentation.
Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket
To the best of our knowledge, this is the first time that the SNN achieves 80+% accuracy on ImageNet.
Dual Branch Network Towards Accurate Printed Mathematical Expression Recognition
Over the past years, Printed Mathematical Expression Recognition (PMER) has progressed rapidly.
ChatFace: Chat-Guided Real Face Editing via Diffusion Latent Space Manipulation
Despite the successful image reconstruction achieved by diffusion-based methods, there are still challenges in effectively manipulating fine-gained facial attributes with textual instructions. To address these issues and facilitate convenient manipulation of real facial images, we propose a novel approach that conduct text-driven image editing in the semantic latent space of diffusion model.
DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Quality
First, we adopt Transformers instead of RNNs to process sequential data and design a relaxation representation for vector outlines, markedly improving the model's capability and stability of synthesizing long and complex outlines.
How to Describe Images in a More Funny Way? Towards a Modular Approach to Cross-Modal Sarcasm Generation
Sarcasm generation has been investigated in previous studies by considering it as a text-to-text generation problem, i. e., generating a sarcastic sentence for an input sentence.
Spikformer: When Spiking Neural Network Meets Transformer
Spikformer (66. 3M parameters) with comparable size to SEW-ResNet-152 (60. 2M, 69. 26%) can achieve 74. 81% top1 accuracy on ImageNet using 4 time steps, which is the state-of-the-art in directly trained SNNs models.
Region-aware Attention for Image Inpainting
Recent attention-based image inpainting methods have made inspiring progress by modeling long-range dependencies within a single image.
Multi-Teacher Knowledge Distillation for Incremental Implicitly-Refined Classification
However, distilling knowledge from two teacher models could result in the student model making some redundant predictions.
Interactive Image Inpainting Using Semantic Guidance
Image inpainting approaches have achieved significant progress with the help of deep neural networks.
Structure-aware Image Inpainting with Two Parallel Streams
Recent works in image inpainting have shown that structural information plays an important role in recovering visually pleasing results.
Online Hashing with Similarity Learning
In the proposed framework, the hash functions are fixed and a parametric similarity function for the binary codes is learnt online to adapt to the streaming data.
Fast Search on Binary Codes by Weighted Hamming Distance
In this paper, a fast search algorithm is proposed to perform the non-exhaustive search for $K$ nearest binary codes by weighted Hamming distance.
Efficient Querying from Weighted Binary Codes
In our method, based on the multi-index hash tables, two algorithms, the table bucket finding algorithm and the table merging algorithm, are proposed to select the nearest weighted binary codes of the query in a non-exhaustive and accurate way.
Residual Encoder-Decoder Network for Deep Subspace Clustering
Subspace clustering aims to cluster unlabeled data that lies in a union of low-dimensional linear subspaces.
Three-Stage Subspace Clustering Framework with Graph-Based Transformation and Optimization
The affinity matrix is obtained in the first stage, then it goes through the second stage, where the proposed GBTO is applied to generate a reconstructed affinity matrix with more authentic similarity between data points.
Restricted Connection Orthogonal Matching Pursuit For Sparse Subspace Clustering
In this paper, we propose a noise-robust algorithm, Restricted Connection Orthogonal Matching Pursuit for Sparse Subspace Clustering (RCOMP-SSC), to improve the clustering accuracy and maintain the low computational time by restricting the number of connections of each data point during the iteration of OMP.
A Novel Efficient Approach with Data-Adaptive Capability for OMP-based Sparse Subspace Clustering
In our method a parameter selection process is developed to adjust the parameters based on the data distribution for information representation.
A Hole Filling Approach Based on Background Reconstruction for View Synthesis in 3D Video
However, in the synthesis process, the background occluded by the foreground objects might be exposed in the new view, resulting in some holes in the synthetized video.
