Foreground Segmentation

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

27 shown of 27 papers with code (84 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• One-Shot Video Object Segmentation
  16 Nov 2016 8 repositories listed
  This paper tackles the task of semi-supervised video object segmentation, i.
• Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning
  27 Jun 2025 2 repositories listed Syntology ran 15 of 23 samples · 8 unverified
  We present Seg-R1, a preliminary exploration of using reinforcement learning (RL) to enhance the pixel-level understanding and reasoning capabilities of large multimodal models (LMMs).
• E-InMeMo: Enhanced Prompting for Visual In-Context Learning
  25 Apr 2025 2 repositories listed
  Large-scale models trained on extensive datasets have become the standard due to their strong generalizability across diverse tasks.
• PartSTAD: 2D-to-3D Part Segmentation Task Adaptation
  11 Jan 2024 2 repositories listed
  Our proposed task adaptation method finetunes a 2D bounding box prediction model with an objective function for 3D segmentation.
• Explicit Visual Prompting for Universal Foreground Segmentations
  29 May 2023 2 repositories listed
  We take inspiration from the widely-used pre-training and then prompt tuning protocols in NLP and propose a new visual prompting model, named Explicit Visual Prompting (EVP).
• Neural Head Reenactment with Latent Pose Descriptors
  24 Apr 2020 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  We propose a neural head reenactment system, which is driven by a latent pose representation and is capable of predicting the foreground segmentation alongside the RGB image.
• PraNet-V2: Dual-Supervised Reverse Attention for Medical Image Segmentation
  15 Apr 2025 1 repository listed
  Previously, PraNet-V1 was proposed to enhance polyp segmentation by introducing a reverse attention (RA) module that utilizes background information.
• FOCUS: Towards Universal Foreground Segmentation
  9 Jan 2025 1 repository listed
  Foreground segmentation is a fundamental task in computer vision, encompassing various subdivision tasks.
• A Unified Framework for Foreground and Anonymization Area Segmentation in CT and MRI Data
  8 Jan 2025 1 repository listed
  This study presents an open-source toolkit to address critical challenges in preprocessing data for self-supervised learning (SSL) for 3D medical imaging, focusing on data privacy and computational efficiency.
• Instruct Me More! Random Prompting for Visual In-Context Learning
  7 Nov 2023 1 repository listed Syntology ran 2 of 9 samples · 7 unverified · 9 pointer-only (licence)
  Our findings suggest that InMeMo offers a versatile and efficient way to enhance the performance of visual ICL with lightweight training.
• AquaSAM: Underwater Image Foreground Segmentation
  8 Aug 2023 1 repository listed
  The Segment Anything Model (SAM) has revolutionized natural image segmentation, nevertheless, its performance on underwater images is still restricted.
• ZBS: Zero-shot Background Subtraction via Instance-level Background Modeling and Foreground Selection
  26 Mar 2023 1 repository listed Syntology ran 5 of 9 samples · 4 unverified
  However, previous unsupervised deep learning BGS algorithms perform poorly in sophisticated scenarios such as shadows or night lights, and they cannot detect objects outside the pre-defined categories.
• Explicit Visual Prompting for Low-Level Structure Segmentations
  20 Mar 2023 1 repository listed Syntology ran 4 of 4 samples · 0 unverified
  Different from the previous visual prompting which is typically a dataset-level implicit embedding, our key insight is to enforce the tunable parameters focusing on the explicit visual content from each individual…
• Visual Prompting via Image Inpainting
  1 Sep 2022 1 repository listed
  How does one adapt a pre-trained visual model to novel downstream tasks without task-specific finetuning or any model modification?
• Exploring the Interactive Guidance for Unified and Effective Image Matting
  17 May 2022 1 repository listed
  Although avoiding the extensive labors of trimap annotation, existing methods still suffer from two limitations: (1) For the single image with multiple objects, it is essential to provide extra interaction information…
• Cascaded Sparse Feature Propagation Network for Interactive Segmentation
  10 Mar 2022 1 repository listed
  We aim to tackle the problem of point-based interactive segmentation, in which the key challenge is to propagate the user-provided annotations to unlabeled regions efficiently.
• Autoencoder-based background reconstruction and foreground segmentation with background noise estimation
  15 Dec 2021 1 repository listed
  The main novelty of the proposed model is that the autoencoder is also trained to predict the background noise, which allows to compute for each frame a pixel-dependent threshold to perform the foreground segmentation.
• Visual Boundary Knowledge Translation for Foreground Segmentation
  1 Aug 2021 1 repository listed
  To this end, we propose a Translation Segmentation Network (Trans-Net), which comprises a segmentation network and two boundary discriminators.
• Real-time Instance Segmentation with Discriminative Orientation Maps
  23 Jun 2021 1 repository listed
  Although instance segmentation has made considerable advancement over recent years, it's still a challenge to design high accuracy algorithms with real-time performance.
• A De-raining semantic segmentation network for real-time foreground segmentation
  16 Apr 2021 1 repository listed
  According to the control experiments, the performances of MultiScaleSE Block and Asymmetric Skip compared with SEResNet18 and Symmetric Skip respectively are improved to a certain degree on the Foreground Accuracy index.
• Rethinking Interactive Image Segmentation: Feature Space Annotation
  12 Jan 2021 1 repository listed
  This strategy is in stark contrast to existing interactive segmentation methodologies, which perform annotation in the image domain.
• "What's This?" -- Learning to Segment Unknown Objects from Manipulation Sequences
  6 Nov 2020 1 repository listed
  Furthermore, while the motion of the manipulator and the object are substantial cues for our algorithm, we present means to robustly deal with distraction objects moving in the background, as well as with completely…
• Illumination-Based Data Augmentation for Robust Background Subtraction
  18 Oct 2019 1 repository listed
  A core challenge in background subtraction (BGS) is handling videos with sudden illumination changes in consecutive frames.
• Online Mutual Foreground Segmentation for Multispectral Stereo Videos
  8 Sep 2018 1 repository listed
  The segmentation of video sequences into foreground and background regions is a low-level process commonly used in video content analysis and smart surveillance applications.
• Learning Multi-scale Features for Foreground Segmentation
  4 Aug 2018 1 repository listed
  Foreground segmentation algorithms aim segmenting moving objects from the background in a robust way under various challenging scenarios.
• One-Shot Segmentation in Clutter
  26 Mar 2018 1 repository listed
  We tackle the problem of one-shot segmentation: finding and segmenting a previously unseen object in a cluttered scene based on a single instruction example.
• Foreground Segmentation Using a Triplet Convolutional Neural Network for Multiscale Feature Encoding
  7 Jan 2018 1 repository listed
  Our network takes an RGB image in three different scales and produces a foreground segmentation probability mask for the corresponding image.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.