Feature Upsampling

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

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

22 shown of 22 papers with code (25 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.

• Deep Image Prior
  29 Nov 2017 14 repositories listed Syntology ran 5 of 6 samples · 1 unverified · 6 pointer-only (licence)
  In this paper, we show that, on the contrary, the structure of a generator network is sufficient to capture a great deal of low-level image statistics prior to any learning.
• CARAFE: Content-Aware ReAssembly of FEatures
  6 May 2019 3 repositories listed
  CARAFE introduces little computational overhead and can be readily integrated into modern network architectures.
• LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models
  18 Apr 2025 2 repositories listed Syntology ran 2 of 6 samples · 4 unverified
  Vision foundation models (VFMs) such as DINOv2 and CLIP have achieved impressive results on various downstream tasks, but their limited feature resolution hampers performance in applications requiring pixel-level…
• FeatUp: A Model-Agnostic Framework for Features at Any Resolution
  15 Mar 2024 2 repositories listed Syntology ran 4 of 5 samples · 1 unverified
  Deep features are a cornerstone of computer vision research, capturing image semantics and enabling the community to solve downstream tasks even in the zero- or few-shot regime.
• On Point Affiliation in Feature Upsampling
  17 Jul 2023 2 repositories listed Syntology ran 5 of 8 samples · 3 unverified · 5 pointer-only (licence)
  We introduce the notion of point affiliation into feature upsampling.
• SAPA: Similarity-Aware Point Affiliation for Feature Upsampling
  26 Sep 2022 2 repositories listed
  We introduce point affiliation into feature upsampling, a notion that describes the affiliation of each upsampled point to a semantic cluster formed by local decoder feature points with semantic similarity.
• JAFAR: Jack up Any Feature at Any Resolution
  10 Jun 2025 1 repository listed
  Foundation Vision Encoders have become essential for a wide range of dense vision tasks.
• Benchmarking Feature Upsampling Methods for Vision Foundation Models using Interactive Segmentation
  4 May 2025 1 repository listed
  As VFMs' popularity grows, there is an increasing interest in understanding their effectiveness for dense prediction tasks.
• LDA-AQU: Adaptive Query-guided Upsampling via Local Deformable Attention
  29 Nov 2024 1 repository listed
  Therefore, we introduce local self-attention into the upsampling task and demonstrate that the majority of existing upsamplers can be regarded as special cases of upsamplers based on local self-attention.
• Lighten CARAFE: Dynamic Lightweight Upsampling with Guided Reassemble Kernels
  29 Oct 2024 1 repository listed
  Experiments on several mainstream vision tasks show that our DLU achieves comparable and even better performance to the original CARAFE, but with much lower complexity, e.
• EfficientCD: A New Strategy For Change Detection Based With Bi-temporal Layers Exchanged
  22 Jul 2024 1 repository listed
  We propose a novel deep learning framework named EfficientCD, specifically designed for remote sensing image change detection.
• FADE: A Task-Agnostic Upsampling Operator for Encoder-Decoder Architectures
  18 Jul 2024 1 repository listed
  The goal of this work is to develop a task-agnostic feature upsampling operator for dense prediction where the operator is required to facilitate not only region-sensitive tasks like semantic segmentation but also…
• A Refreshed Similarity-based Upsampler for Direct High-Ratio Feature Upsampling
  2 Jul 2024 1 repository listed Syntology ran 6 of 8 samples · 2 unverified · 8 pointer-only (licence)
  These shortcomings make the existing methods along this pipeline primarily applicable to hierarchical network architectures with iterative features as guidance and they are not readily extended to a broader range of…
• LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors
  21 Mar 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  We present a simple self-supervised method to enhance the performance of ViT features for dense downstream tasks.
• ASCNet: Asymmetric Sampling Correction Network for Infrared Image Destriping
  28 Jan 2024 1 repository listed
  In a real-world infrared imaging system, effectively learning a consistent stripe noise removal model is essential.
• Learning to Upsample by Learning to Sample
  29 Aug 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  We present DySample, an ultra-lightweight and effective dynamic upsampler.
• SeaFormer++: Squeeze-enhanced Axial Transformer for Mobile Visual Recognition
  30 Jan 2023 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Since the introduction of Vision Transformers, the landscape of many computer vision tasks (e.
• FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling
  21 Jul 2022 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  We consider the problem of task-agnostic feature upsampling in dense prediction where an upsampling operator is required to facilitate both region-sensitive tasks like semantic segmentation and detail-sensitive tasks…
• Local and Global GANs with Semantic-Aware Upsampling for Image Generation
  28 Feb 2022 1 repository listed
  To learn more discriminative class-specific feature representations for the local generation, we also propose a novel classification module.
• Deep ViT Features as Dense Visual Descriptors
  10 Dec 2021 1 repository listed Syntology ran 1 of 6 samples · 5 unverified
  To distill the power of ViT features from convoluted design choices, we restrict ourselves to lightweight zero-shot methodologies (e.
• Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst Images
  25 Jan 2021 1 repository listed
  Considering the fact that the green channel has twice the sampling rate and better quality than the red and blue channels in CFA raw data, we propose to use this green channel prior (GCP) to build a GCP-Net for the…
• A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
  25 Jul 2016 1 repository listed
  A unified deep neural network, denoted the multi-scale CNN (MS-CNN), is proposed for fast multi-scale object detection.

Syntology lines on 10 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.