Data · dataset · 2026
Derived evaluation records and split definitions for reliability-aware recurrent cost-volume fusion in streaming stereo 3D object detection
Listed in Teesside University Research Data Repository
This dataset accompanies the manuscript Reliability-Aware Recurrent Cost-Volume Fusion for Streaming Stereo 3D Object Detection.
Description
It contains the retained training and validation frame identifiers (5,540 and 2,380 frames), source CSVs for Tables 1–7, per-sequence and per-class temporal diagnostic summaries, paired comparisons, and archived validation predictions for Full, NoAlign and NoConf. Prediction dimensions are stored as length, height and width in metres, with camera-coordinate bottom centres.
The table CSVs preserve the authors’ reported historical evaluation records; they are not new training runs or newly computed AP scores. The provenance files explain the historical AP conventions and the separate temporal diagnostic protocol and should be consulted when interpreting or recomputing scores. The deposit does not contain all historical control predictions or training checkpoints.
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Original KITTI images, ground-truth labels and calibration files are not redistributed and must be obtained from the official KITTI sources. Code is maintained separately and is not included in this data release.
Links
Where it is published
- DOI doi.org/10.17632/d7ss92ptc2.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Computer vision · Earth & Environmental Science
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/d7ss92ptc2.1 | 17 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:460304 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Computer Vision'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:tabular | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |